System for detecting and reporting anomalies in a network of moving things, for example including a network of autonomous vehicles

ABSTRACT

Systems and methods for detecting and classifying anomalies in a network of moving things. As non-limiting examples, various aspects of this disclosure provide configurable and adaptable systems and methods, for example in a network of moving things, for detecting various operational anomalies, classifying such anomalies, and/or reporting such anomalies.

CROSS-REFERENCE TO RELATED APPLICATIONS/INCORPORATION BY REFERENCE

This patent application is a continuation of co-pending U.S. patentapplication Ser. No. 15/174,759, filed Jun. 6, 2016, and titled “Systemsand Methods for Detecting and Classifying Anomalies in a Network ofMoving Things,” expected to issue as U.S. Pat. No. 10,313,212; whichmakes reference to, claims priority to, and claims benefit from U.S.Provisional Application Ser. No. 62/222,077, titled “Systems and Methodsfor Detecting and Classifying Anomalies in a Network of Moving Things,”filed on Sep. 22, 2015; each of which is hereby incorporated herein byreference in its entirety. The present application is also related toU.S. Provisional Patent Application Ser. No. 62/222,192, titled“Communication Network of Moving Things,” filed on Sep. 22, 2015; U.S.Provisional Application Ser. No. 62/221,997, titled “IntegratedCommunication Network for a Network of Moving Things,” filed on Sep. 22,2015; U.S. Provisional Application Ser. No. 62/222,016, titled “Systemsand Methods for Synchronizing a Network of Moving Things,” filed on Sep.22, 2015; U.S. Provisional Application Ser. No. 62/222,042, titled“Systems and Methods for Managing a Network of Moving Things,” filed onSep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,066, titled“Systems and Methods for Monitoring a Network of Moving Things,” filedon Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,077,titled “Systems and Methods for Detecting and Classifying Anomalies in aNetwork of Moving Things,” filed on Sep. 22, 2015; U.S. ProvisionalApplication Ser. No. 62/222,098, titled “Systems and Methods forManaging Mobility in a Network of Moving Things,” filed on Sep. 22,2015; U.S. Provisional Application Ser. No. 62/222,121, titled “Systemsand Methods for Managing Connectivity a Network of Moving Things,” filedon Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,135,titled “Systems and Methods for Collecting Sensor Data in a Network ofMoving Things,” filed on Sep. 22, 2015; U.S. Provisional ApplicationSer. No. 62/222,145, titled “Systems and Methods for Interfacing with aNetwork of Moving Things,” filed on Sep. 22, 2015; U.S. ProvisionalApplication Ser. No. 62/222,150, titled “Systems and Methods forInterfacing with a User of a Network of Moving Things,” filed on Sep.22, 2015; U.S. Provisional Application Ser. No. 62/222,168, titled“Systems and Methods for Data Storage and Processing for a Network ofMoving Things,” filed on Sep. 22, 2015; U.S. Provisional ApplicationSer. No. 62/222,183, titled “Systems and Methods for Vehicle TrafficManagement in a Network of Moving Things,” filed on Sep. 22, 2015; U.S.Provisional Application Ser. No. 62/222,186, titled “Systems and Methodsfor Environmental Management in a Network of Moving Things,” filed onSep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,190, titled“Systems and Methods for Port Management in a Network of Moving Things,”filed on Sep. 22, 2015; U.S. Provisional Application Ser. No.62/244,828, titled “Utilizing Historical Data to Correct GPS Data in aNetwork of Moving Things,” filed on Oct. 22, 2015; U.S. ProvisionalApplication Ser. No. 62/244,930, titled “Using Anchors to Correct GPSData in a Network of Moving Things,” filed on Oct. 22, 2015; U.S.Provisional Application Ser. No. 62/246,368, titled “Systems and Methodsfor Inter-Application Communication in a Network of Moving Things,”filed on Oct. 26, 2015; U.S. Provisional Application Ser. No.62/246,372, titled “Systems and Methods for Probing and ValidatingCommunication in a Network of Moving Things,” filed on Oct. 26, 2015;U.S. Provisional Application Ser. No. 62/250,544, titled “Adaptive RateControl for Vehicular Networks,” filed on Nov. 4, 2015; U.S. ProvisionalApplication Ser. No. 62/273,878, titled “Systems and Methods forReconfiguring and Adapting Hardware in a Network of Moving Things,”filed on Dec. 31, 2015; U.S. Provisional Application Ser. No.62/253,249, titled “Systems and Methods for Optimizing Data Gathering ina Network of Moving Things,” filed on Nov. 10, 2015; U.S. ProvisionalApplication Ser. No. 62/257,421, titled “Systems and Methods for DelayTolerant Networking in a Network of Moving Things,” filed on Nov. 19,2015; U.S. Provisional Application Ser. No. 62/265,267, titled “Systemsand Methods for Improving Coverage and Throughput of Mobile AccessPoints in a Network of Moving Things,” filed on Dec. 9, 2015; U.S.Provisional Application Ser. No. 62/270,858, titled “ChannelCoordination in a Network of Moving Things,” filed on Dec. 22, 2015;U.S. Provisional Application Ser. No. 62/257,854, titled “Systems andMethods for Network Coded Mesh Networking in a Network of MovingThings,” filed on Nov. 20, 2015; U.S. Provisional Application Ser. No.62/260,749, titled “Systems and Methods for Improving Fixed Access PointCoverage in a Network of Moving Things,” filed on Nov. 30, 2015; U.S.Provisional Application Ser. No. 62/273,715, titled “Systems and Methodsfor Managing Mobility Controllers and Their Network Interactions in aNetwork of Moving Things,” filed on Dec. 31, 2015; U.S. ProvisionalApplication Ser. No. 62/281,432, titled “Systems and Methods forManaging and Triggering Handovers of Mobile Access Points in a Networkof Moving Things,” filed on Jan. 21, 2016; U.S. Provisional ApplicationSer. No. 62/268,188, titled “Captive Portal-related Control andManagement in a Network of Moving Things,” filed on Dec. 16, 2015; U.S.Provisional Application Ser. No. 62/270,678, titled “Systems and Methodsto Extrapolate High-Value Data from a Network of Moving Things,” filedon Dec. 22, 2015; U.S. Provisional Application Ser. No. 62/272,750,titled “Systems and Methods for Remote Software Update and Distributionin a Network of Moving Things,” filed on Dec. 30, 2015; U.S. ProvisionalApplication Ser. No. 62/278,662, titled “Systems and Methods for RemoteConfiguration Update and Distribution in a Network of Moving Things,”filed on Jan. 14, 2016; U.S. Provisional Application Ser. No.62/286,243, titled “Systems and Methods for Adapting a Network of MovingThings Based on User Feedback,” filed on Jan. 22, 2016; U.S. ProvisionalApplication Ser. No. 62/278,764, titled “Systems and Methods toGuarantee Data Integrity When Building Data Analytics in a Network ofMoving Things,” Jan. 14, 2016; U.S. Provisional Application Ser. No.62/286,515, titled “Systems and Methods for Self-Initialization andAutomated Bootstrapping of Mobile Access Points in a Network of MovingThings,” filed on Jan. 25, 2016; U.S. Provisional Application Ser. No.62/295,602, titled “Systems and Methods for Power Management in aNetwork of Moving Things,” filed on Feb. 16, 2016; and U.S. ProvisionalApplication Ser. No. 62/299,269, titled “Systems and Methods forAutomating and Easing the Installation and Setup of the InfrastructureSupporting a Network of Moving Things,” filed on Feb. 24, 2016; each ofwhich is hereby incorporated herein by reference in its entirety for allpurposes.

BACKGROUND

Current communication networks are unable to adequately supportcommunication environments involving moving networks. As a non-limitingexample, current communication networks are unable to adequatelysupport, for example including anomaly detection and correction, anetwork comprising a complex array of both moving and static nodes(e.g., the Internet of moving things). Limitations and disadvantages ofconventional methods and systems will become apparent to one of skill inthe art, through comparison of such approaches with some aspects of thepresent methods and systems set forth in the remainder of thisdisclosure with reference to the drawings.

BRIEF DESCRIPTION OF SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 shows a block diagram of a communication network, in accordancewith various aspects of this disclosure.

FIG. 2 shows a block diagram of a communication network, in accordancewith various aspects of this disclosure.

FIG. 3 shows a diagram of a metropolitan area network, in accordancewith various aspects of this disclosure.

FIG. 4 shows a block diagram of a communication network, in accordancewith various aspects of this disclosure.

FIGS. 5A-5C show a plurality of network configurations illustrating theflexibility and/or and resiliency of a communication network, inaccordance with various aspects of this disclosure.

FIG. 6 shows a block diagram of an example communication network, inaccordance with various aspects of the present disclosure.

FIG. 7 shows a block diagram of an example monitoring service and/orcomponents thereof for monitoring network behavior, in accordance withvarious aspects of the present disclosure.

FIG. 8 shows a flow diagram of an example method for monitoring networkbehavior, in accordance with various aspects of the present disclosure.

FIG. 9 shows a block diagram of an example anomaly detection system, inaccordance with various aspects of the present disclosure.

SUMMARY

Various aspects of this disclosure provide systems and methods fordetecting and classifying anomalies in a network of moving things. Asnon-limiting examples, various aspects of this disclosure provideconfigurable and adaptable systems and methods, for example in a networkof moving things, for detecting various operational anomalies,classifying such anomalies, and/or reporting such anomalies.

DETAILED DESCRIPTION OF VARIOUS ASPECTS OF THE DISCLOSURE

As utilized herein the terms “circuits” and “circuitry” refer tophysical electronic components (i.e., hardware) and any software and/orfirmware (“code”) that may configure the hardware, be executed by thehardware, and or otherwise be associated with the hardware. As usedherein, for example, a particular processor and memory (e.g., a volatileor non-volatile memory device, a general computer-readable medium, etc.)may comprise a first “circuit” when executing a first one or more linesof code and may comprise a second “circuit” when executing a second oneor more lines of code. Additionally, a circuit may comprise analogand/or digital circuitry. Such circuitry may, for example, operate onanalog and/or digital signals. It should be understood that a circuitmay be in a single device or chip, on a single motherboard, in a singlechassis, in a plurality of enclosures at a single geographical location,in a plurality of enclosures distributed over a plurality ofgeographical locations, etc.

As utilized herein, circuitry is “operable” to perform a functionwhenever the circuitry comprises the necessary hardware and code (if anyis necessary) to perform the function, regardless of whether performanceof the function is disabled, or not enabled (e.g., by auser-configurable setting, factory setting or trim, etc.).

As utilized herein, “and/or” means any one or more of the items in thelist joined by “and/or”. As an example, “x and/or y” means any elementof the three-element set {(x), (y), (x, y)}. That is, “x and/or y” means“one or both of x and y.” As another example, “x, y, and/or z” means anyelement of the seven-element set {(x), (y), (z), (x, y), (x, z), (y, z),(x, y, z)}. That is, “x, y, and/or x” means “one or more of x, y, andz.” As utilized herein, the terms “e.g.,” and “for example” set offlists of one or more non-limiting examples, instances, or illustrations.

The terminology used herein is for the purpose of describing particularexamples only and is not intended to be limiting of the disclosure. Asused herein, the singular forms are intended to include the plural formsas well, unless the context clearly indicates otherwise. It will befurther understood that the terms “comprises,” “includes,” “comprising,”“including,” “has,” “have,” “having,” and the like when used in thisspecification, specify the presence of stated features, integers, steps,operations, elements, and/or components, but do not preclude thepresence or addition of one or more other features, integers, steps,operations, elements, components, and/or groups thereof.

It will be understood that, although the terms first, second, etc. maybe used herein to describe various elements, these elements should notbe limited by these terms. These terms are only used to distinguish oneelement from another element. Thus, for example, a first element, afirst component or a first section discussed below could be termed asecond element, a second component or a second section without departingfrom the teachings of the present disclosure. Similarly, various spatialterms, such as “upper,” “lower,” “side,” and the like, may be used indistinguishing one element from another element in a relative manner. Itshould be understood, however, that components may be oriented indifferent manners, for example an electronic device may be turnedsideways so that its “top” surface is facing horizontally and its “side”surface is facing vertically, without departing from the teachings ofthe present disclosure.

With the proliferation of the mobile and/or static things (e.g.,devices, machines, people, etc.) and logistics for such things to becomeconnected to each other (e.g., in the contexts of smart logistics,transportation, environmental sensing, etc.), a platform that is forexample always-on, robust, scalable and secure that is capable ofproviding connectivity, services and Internet access to such things (orobjects), anywhere and anytime is desirable. Efficient power utilizationwithin the various components of such system is also desirable.

Accordingly, various aspects of the present disclosure provide afully-operable, always-on, responsive, robust, scalable, secureplatform/system/architecture to provide connectivity, services andInternet access to all mobile things and/or static things (e.g.,devices, machines, people, access points, end user devices, sensors,etc.) anywhere and anytime, while operating in an energy-efficientmanner.

Various aspects of the present disclosure provide a platform that isflexibly configurable and adaptable to the various requirements,features, and needs of different environments, where each environmentmay be characterized by a respective level of mobility and density ofmobile and/or static things, and the number and/or types of access tothose things. Characteristics of various environments may, for example,include high mobility of nodes (e.g., causing contacts or connections tobe volatile), high number of neighbors, high number of connected mobileusers, mobile access points, availability of multiple networks andtechnologies (e.g., sometimes within a same area), etc. For example, themode of operation of the platform may be flexibly adapted fromenvironment to environment, based on each environment's respectiverequirements and needs, which may be different from other environments.Additionally for example, the platform may be flexibly optimized (e.g.,at design/installation time and/or in real-time) for different purposes(e.g., to reduce the latency, increase throughput, reduce powerconsumption, load balance, increase reliability, make more robust withregard to failures or other disturbances, etc.), for example based onthe content, service or data that the platform provides or handleswithin a particular environment.

In accordance with various aspects of the present disclosure, manycontrol and management services (e.g., mobility, security, routing,etc.) are provided on top of the platform (e.g., directly, using controloverlays, using containers, etc.), such services being compatible withthe services currently deployed on top of the Internet or othercommunication network(s).

The communication network (or platform), in whole or in part, may forexample be operated in public and/or private modes of operation, forexample depending on the use case. The platform may, for example,operate in a public or private mode of operation, depending on theuse-case (e.g., public Internet access, municipal environment sensing,fleet operation, etc.).

Additionally for example, in an implementation in which various networkcomponents are mobile, the transportation and/or signal controlmechanisms may be adapted to serve the needs of the particularimplementation. Also for example, wireless transmission power and/orrate may be adapted (e.g., to mitigate interference, to reduce powerconsumption, to extend the life of network components, etc.

Various example implementations of a platform, in accordance withvarious aspects of the present disclosure, are capable of connectingdifferent subsystems, even when various other subsystems that maynormally be utilized are unavailable. For example, the platform maycomprise various built-in redundancies and fail-recovery mechanisms. Forexample, the platform may comprise a self-healing capability,self-configuration capability, self-adaptation capability, etc. Theprotocols and functions of the platform may, for example, be prepared tobe autonomously and smoothly configured and adapted to the requirementsand features of different environments characterized by different levelsof mobility and density of things (or objects), the number/types ofaccess to those things. For example, various aspects of the platform maygather context parameters that can influence any or all decisions. Suchparameters may, for example, be derived locally, gathered from aneighborhood, Fixed APs, the Cloud, etc. Various aspects of the platformmay also, for example, ask for historical information to feed any of thedecisions, where such information can be derived from historical data,from surveys, from simulators, etc. Various aspects of the platform mayadditionally, for example, probe or monitor decisions made throughoutthe network, for example to evaluate the network and/or the decisionsthemselves in real-time. Various aspects of the platform may further,for example, enforce the decisions in the network (e.g., afterevaluating the probing results). Various aspects of the platform may,for example, establish thresholds to avoid any decision that is to beconstantly or repeatedly performed without any significant advantage(e.g., technology change, certificate change, IP change, etc.). Variousaspects of the platform may also, for example, learn locally (e.g., withthe decisions performed) and dynamically update the decisions.

In addition to (or instead of) failure robustness, a platform mayutilize multiple connections (or pathways) that exist between distinctsub-systems or elements within the same sub-system, to increase therobustness and/or load-balancing of the system.

The following discussion will present examples of the functionalityperformed by various example subsystems of the communication network. Itshould be understood that the example functionality discussed hereinneed not be performed by the particular example subsystem or by a singlesubsystem. For example, the subsystems present herein may interact witheach other, and data or control services may be deployed either in acentralized way, or having their functionalities distributed among thedifferent subsystems, for example leveraging the cooperation between theelements of each subsystem.

Various aspects of the present disclosure provide a communicationnetwork (e.g., a city-wide vehicular network, a shipping port-sizedvehicular network, a campus-wide vehicular network, etc.) that utilizesvehicles (e.g., automobiles, buses, trucks, boats, forklifts, etc.) asWi-Fi hotspots. Note that Wi-Fi is generally used throughout thisdiscussion as an example, but the scope of various aspects of thisdisclosure is not limited thereto. For example, other wireless LANtechnologies, PAN technologies, MAN technologies, etc., may be utilized.Such utilization may, for example, provide cost-effective ways to gathersubstantial amounts of urban data, and provide for the efficientoffloading of traffic from congested cellular networks (or othernetworks). In controlled areas (e.g., ports, harbors, etc.) with manyvehicles, a communication network in accordance with various aspects ofthis disclosure may expand the wireless coverage of existing enterpriseWi-Fi networks, for example providing for real-time communication withvehicle drivers (e.g., human, computer-controlled, etc.) and othermobile employees without the need for SIM cards or cellular (or othernetwork) data plans.

Vehicles may have many advantageous characteristics that make themuseful as Wi-Fi (or general wireless) hotspots. For example, vehiclesgenerally have at least one battery, vehicles are generally denselyspread over the city at street level and/or they are able to establishmany contacts with each other in a controlled space, and vehicles cancommunicate with 10 x the range of normal Wi-Fi in the 5.9 GHz frequencyband, reserved for intelligent transportation systems in the EU, theU.S., and elsewhere. Note that the scope of this disclosure is notlimited to such 5.9 GHz wireless communication. Further, vehicles areable to effectively expand their coverage area into a swath over aperiod of time, enabling a single vehicle access point to interact withsubstantially more data sources over the period of time.

In accordance with various aspects of the present disclosure, anaffordable multi-network on-board unit (OBU) is presented. Note that theOBU may also be referred to herein as a mobile access point, Mobile AP,MAP, etc. The OBU may, for example, comprise a plurality of networkinginterfaces (e.g., Wi-Fi, 802.11p, 4G, Bluetooth, UWB, etc.). The OBUmay, for example, be readily installed in or on private and/or publicvehicles (e.g., individual user vehicles, vehicles of private fleets,vehicles of public fleets, etc.). The OBU may, for example, be installedin transportation fleets, waste management fleets, law enforcementfleets, emergency services, road maintenance fleets, taxi fleets,aircraft fleets, etc. The OBU may, for example, be installed in or on avehicle or other structure with free mobility or relatively limitedmobility. The OBU may also, for example, be carried by a person orservice animal, mounted to a bicycle, mounted to a moving machine ingeneral, mounted to a container, etc.

The OBUs may, for example, operate to connect passing vehicles to thewired infrastructure of one or more network providers, telecomoperators, etc. In accordance with the architecture, hardware, andsoftware functionality discussed herein, vehicles and fleets can beconnected not just to the cellular networks (or other wide area ormetropolitan area networks, etc.) and existing Wi-Fi hotspots spreadover a city or a controlled space, but also to other vehicles (e.g.,utilizing multi-hop communications to a wired infrastructure, single ormulti-hop peer-to-peer vehicle communication, etc.). The vehicles and/orfleets may, for example, form an overall mesh of communication links,for example including the OBUs and also fixed Access Points (APs)connected to the wired infrastructure (e.g., a local infrastructure,etc.). Note that OBUs herein may also be referred to as “Mobile APs,”“mobile hotspots,” “MAPs,” etc. Also note that fixed access points mayalso be referred to herein as Road Side Units (RSUs), Fixed APs, FAPs,etc.

In an example implementation, the OBUs may communicate with the FixedAPs utilizing a relatively long-range protocol (e.g., 802.11p, etc.),and the Fixed APs may, in turn, be hard wired to the wiredinfrastructure (e.g., via cable, tethered optical link, etc.). Note thatFixed APs may also, or alternatively, be coupled to the infrastructurevia wireless link (e.g., 802.11p, etc.). Additionally, clients or userdevices may communicate with the OBUs using one or more relativelyshort-range protocols (e.g., Wi-Fi, Bluetooth, UWB, etc.). The OBUs, forexample having a longer effective wireless communication range thantypical Wi-Fi access points or other wireless LAN/PAN access points(e.g., at least for links such as those based on 802.11p, etc.), arecapable of substantially greater coverage areas than typical Wi-Fi orother wireless LAN/PAN access points, and thus fewer OBUs are necessaryto provide blanket coverage over a geographical area.

The OBU may, for example, comprise a robust vehicular networking module(e.g., a connection manager) which builds on long-range communicationprotocol capability (e.g., 802.11p, etc.). For example, in addition tocomprising 802.11p (or other long-range protocol) capability tocommunicate with Fixed APs, vehicles, and other nodes in the network,the OBU may comprise a network interface (e.g., 802.11a/b/g/n, 802.11ac,802.11af, any combination thereof, etc.) to provide wireless local areanetwork (WLAN) connectivity to end user devices, sensors, fixed Wi-Fiaccess points, etc. For example, the OBU may operate to providein-vehicle Wi-Fi Internet access to users in and/or around the vehicle(e.g., a bus, train car, taxi cab, public works vehicle, etc.). The OBUmay further comprise one or more wireless backbone communicationinterfaces (e.g., cellular network interfaces, etc.). Though in variousexample scenarios, a cellular network interface (or other wirelessbackbone communication interface) might not be the preferred interfacefor various reasons (e.g., cost, power, bandwidth, etc.), the cellularnetwork interface may be utilized to provide connectivity ingeographical areas that are not presently supported by a Fixed AP, maybe utilized to provide a fail-over communication link, may be utilizedfor emergency communications, may be utilized to subscribe to localinfrastructure access, etc. The cellular network interface may also, forexample, be utilized to allow the deployment of solutions that aredependent on the cellular network operators.

An OBU, in accordance with various aspects of the present disclosure,may for example comprise a smart connection manager that can select thebest available wireless link(s) (e.g., Wi-Fi, 802.11p, cellular, vehiclemesh, etc.) with which to access the Internet. The OBU may also, forexample, provide geo-location capabilities (e.g., GPS, etc.), motiondetection sensors to determine if the vehicle is in motion, and a powercontrol subsystem (e.g., to ensure that the OBU does not deplete thevehicle battery, etc.). The OBU may, for example, comprise any or all ofthe sensors (e.g., environmental sensors, etc.) discussed herein.

The OBU may also, for example, comprise a manager that managesmachine-to-machine data acquisition and transfer (e.g., in a real-timeor delay-tolerant fashion) to and from the Cloud. For example, the OBUmay log and/or communicate information of the vehicles.

The OBU may, for example, comprise a connection and/or routing managerthat operates to perform routing of communications in avehicle-to-vehicle/vehicle-to-infrastructure multi-hop communication. Amobility manager (or controller, MC) may, for example, ensure thatcommunication sessions persist over one or more handoff(s) (alsoreferred to herein as a “handover” or “handovers”) (e.g., betweendifferent Mobile APs, Fixed APs, base stations, hot spots, etc.), amongdifferent technologies (e.g., 802.11p, cellular, Wi-Fi, satellite,etc.), among different MCs (e.g., in a fail-over scenario, loadredistribution scenario, etc.), across different interfaces (or ports),etc. Note that the MC may also be referred to herein as a Local MobilityAnchor (LMA), a Network Controller, etc. Note that the MC, or aplurality thereof, may for example be implemented as part of thebackbone, but may also, or alternatively, be implemented as part of anyof a variety of components or combinations thereof. For example, the MCmay be implemented in a Fixed AP (or distributed system thereof), aspart of an OBU (or a distributed system thereof), etc. Variousnon-limiting examples of system components and/or methods are providedin U.S. Provisional Application No. 62/222,098, filed Sep. 22, 2015, andtitled “Systems and Method for Managing Mobility in a Network of MovingThings,” the entire contents of which are hereby incorporated herein byreference. Note that in an example implementation including a pluralityof MCs, such MCs may be co-located and/or may be geographicallydistributed.

Various aspects of the present disclosure also provide a Cloud-basedservice-oriented architecture that handles the real-time management,monitoring and reporting of the network and clients, the functionalitiesrequired for data storage, processing and management, the Wi-Fi clientauthentication and Captive Portal display, etc.

A communication network (or component thereof) in accordance withvarious aspects of the present disclosure may, for example, support awide range of smart city applications (or controlled scenarios, orconnected scenarios, etc.) and/or use-cases, as described herein.

For example, an example implementation may operate to turn each vehicle(e.g., both public and private taxis, buses, trucks, etc.) into a MobileAP (e.g., a mobile Wi-Fi hotspot), offering Internet access toemployees, passengers and mobile users travelling in the city, waitingin bus stops, sitting in parks, etc. Moreover, through an examplevehicular mesh network formed between vehicles and/or fleets ofvehicles, an implementation may be operable to offload cellular trafficthrough the mobile Wi-Fi hotspots and/or Fixed APs (e.g., 802.11p-basedAPs) spread over the city and connected to the wired infrastructure ofpublic or private telecom operators in strategic places, while ensuringthe widest possible coverage at the lowest possible cost.

An example implementation (e.g., of a communication network and/orcomponents thereof) may, for example, be operable as a massive urbanscanner that gathers large amounts of data (e.g., continuously)on-the-move, actionable or not, generated by a myriad of sourcesspanning from the in-vehicle sensors or On Board Diagnostic System port(e.g., OBD2, etc.), external Wi-Fi/Bluetooth-enabled sensing unitsspread over the city, devices of vehicles' drivers and passengers (e.g.,information characterizing such devices and/or passengers, etc.),positioning system devices (e.g., position information, velocityinformation, trajectory information, travel history information, etc.),etc.

Depending on the use case, the OBU may for example process (or computer,transform, manipulate, aggregate, summarize, etc.) the data beforesending the data from the vehicle, for example providing the appropriategranularity (e.g., value resolution) and sampling rates (e.g., temporalresolution) for each individual application. For example, the OBU may,for example, process the data in any manner deemed advantageous by thesystem. The OBU may, for example, send the collected data (e.g., rawdata, preprocessed data, information of metrics calculated based on thecollected data, etc.) to the Cloud (e.g., to one or more networkedservers coupled to any portion of the network) in an efficient andreliable manner to improve the efficiency, environmental impact andsocial value of municipal city operations and transportation services.Various example use cases are described herein.

In an example scenario in which public buses are moving along cityroutes and/or taxis are performing their private transportationservices, the OBU is able to collect large quantities of real-time datafrom the positioning systems (e.g., GPS, etc.), from accelerometermodules, etc. The OBU may then, for example, communicate such data tothe Cloud, where the data may be processed, reported and viewed, forexample to support such public or private bus and/or taxi operations,for example supporting efficient remote monitoring and scheduling ofbuses and taxis, respectively.

In an example implementation, small cameras (or other sensors) may becoupled to small single-board computers (SBCs) that are placed above thedoors of public buses to allow capturing image sequences of peopleentering and leaving buses, and/or on stops along the bus routes inorder to estimate the number of people waiting for a bus. Such data maybe gathered by the OBU in order to be sent to the Cloud. With such data,public transportation systems may detect peaks; overcrowded buses,routes and stops; underutilized buses, routes and stops; etc., enablingaction to be taken in real-time (e.g., reducing bus periodicity todecrease fuel costs and CO₂ emissions where and when passenger flows aresmaller, etc.) as well as detecting systematic transportation problems.

An OBU may, for example, be operable to communicate with any of avariety of Wi-Fi-enabled sensor devices equipped with a heterogeneouscollection of environmental sensors. Such sensors may, for example,comprise noise sensors (microphones, etc.), gas sensors (e.g., sensingCO, NO₂, O₃, volatile organic compounds (or VOCs), CO₂, etc.), smokesensors, pollution sensors, meteorological sensors (e.g., sensingtemperature, humidity, luminosity, particles, solar radiation, windspeed (e.g., anemometer), wind direction, rain (e.g., a pluviometer),optical scanners, biometric scanners, cameras, microphones, etc.). Suchsensors may also comprise sensors associated with users (e.g., vehicleoperators or passengers, passersby, etc.) and/or their personal devices(e.g., smart phones or watches, biometrics sensors, wearable sensors,implanted sensors, etc.). Such sensors may, for example, comprisesensors and/or systems associated with on-board diagnostic (OBD) unitsfor vehicles. Such sensors may, for example, comprise positioningsensors (e.g., GPS sensors, Galileo sensors, GLONASS sensors, etc.).Such sensors may, for example, comprise container sensors (e.g., garbagecan sensors, shipping container sensors, container environmentalsensors, container tracking sensors, etc.).

Once a vehicle enters the vicinity of such a sensor device, a wirelesslink may be established, so that the vehicle (or OBU thereof) cancollect sensor data from the sensor device and upload the collected datato a database in the Cloud. The appropriate action can then be taken. Inan example waste management implementation, several waste management (orcollection) trucks may be equipped with OBUs that are able toperiodically communicate with sensors installed on containers in orderto gather information about waste level, time passed since lastcollection, etc. Such information may then sent to the Cloud (e.g., to awaste management application coupled to the Internet, etc.) through thevehicular mesh network, in order to improve the scheduling and/orrouting of waste management trucks. Note that various sensors may alwaysbe in range of the Mobile AP (e.g., vehicle-mounted sensors). Note thatthe sensor may also (or alternatively) be mobile (e.g., a sensor mountedto another vehicle passing by a Mobile AP or Fixed AP, a drone-mountedsensor, a pedestrian-mounted sensor, etc.).

In an example implementation, for example in a controlled space (e.g., aport, harbor, airport, factory, plantation, mine, etc.) with manyvehicles, machines and employees, a communication network in accordancewith various aspects of the present disclosure may expand the wirelesscoverage of enterprise and/or local Wi-Fi networks, for example withoutresorting to a Telco-dependent solution based on SIM cards or cellularfees. In such an example scenario, apart from avoiding expensivecellular data plans, limited data rate and poor cellular coverage insome places, a communication network in accordance with various aspectsof the present disclosure is also able to collect and/or communicatelarge amounts of data, in a reliable and real-time manner, where suchdata may be used to optimize harbor logistics, transportationoperations, etc.

For example in a port and/or harbor implementation, by gatheringreal-time information on the position, speed, fuel consumption and CO₂emissions of the vehicles, the communication network allows a portoperator to improve the coordination of the ship loading processes andincrease the throughput of the harbor. Also for example, thecommunication network enables remote monitoring of drivers' behaviors,trucks' positions and engines' status, and then be able to providereal-time notifications to drivers (e.g., to turn on/off the engine,follow the right route inside the harbor, take a break, etc.), thusreducing the number and duration of the harbor services and trips.Harbor authorities may, for example, quickly detect malfunctioningtrucks and abnormal trucks' circulation, thus avoiding accidents inorder to increase harbor efficiency, security, and safety. Additionally,the vehicles can also connect to Wi-Fi access points from harbor localoperators, and provide Wi-Fi Internet access to vehicles' occupants andsurrounding harbor employees, for example allowing pilots to save timeby filing reports via the Internet while still on the water.

FIG. 1 shows a block diagram of a communication network 100, inaccordance with various aspects of this disclosure. Any or all of thefunctionality discussed herein may be performed by any or all of theexample components of the example network 100. Also, the example network100 may, for example, share any or all characteristics with the otherexample networks and/or network components 200, 300, 400, 500-570, 600,700, 800, and 900 discussed herein.

The example network 100, for example, comprises a Cloud that may, forexample comprise any of a variety of network level components. The Cloudmay, for example, comprise any of a variety of server systems executingapplications that monitor and/or control components of the network 100.Such applications may also, for example, manage the collection ofinformation from any of a large array of networked information sources,many examples of which are discussed herein. The Cloud (or a portionthereof) may also be referred to, at times, as an API. For example,Cloud (or a portion thereof) may provide one or more applicationprogramming interfaces (APIs) which other devices may use forcommunicating/interacting with the Cloud.

An example component of the Cloud may, for example, manageinteroperability with various multi-Cloud systems and architectures.Another example component (e.g., a Cloud service component) may, forexample, provide various Cloud services (e.g., captive portal services,authentication, authorization, and accounting (AAA) services, APIGateway services, etc.). An additional example component (e.g., aDevCenter component) may, for example, provide network monitoring and/ormanagement functionality, manage the implementation of software updates,etc. A further example component of the Cloud may manage data storage,data analytics, data access, etc. A still further example component ofthe Cloud may include any of a variety of third-partly applications andservices.

The Cloud may, for example, be coupled to the Backbone/CoreInfrastructure of the example network 100 via the Internet (e.g.,utilizing one or more Internet Service Providers). Though the Internetis provided by example, it should be understood that scope of thepresent disclosure is not limited thereto.

The Backbone/Core may, for example, comprise any one or more differentcommunication infrastructure components. For example, one or moreproviders may provide backbone networks or various components thereof.As shown in the example network 100 illustrated in FIG. 1, a Backboneprovider may provide wireline access (e.g., PSTN, fiber, cable, etc.).Also for example, a Backbone provider may provide wireless access (e.g.,Microwave, LTE/Cellular, 5G/TV Spectrum, etc.).

The Backbone/Core may also, for example, comprise one or more LocalInfrastructure Providers. The Backbone/Core may also, for example,comprise a private infrastructure (e.g., run by the network 100implementer, owner, etc.). The Backbone/Core may, for example, provideany of a variety of Backbone Services (e.g., AAA, Mobility, Monitoring,Addressing, Routing, Content services, Gateway Control services, etc.).

The Backbone/Core Infrastructure may comprise any of a variety ofcharacteristics, non-limiting examples of which are provided herein. Forexample, the Backbone/Core may be compatible with different wireless orwired technologies for backbone access. The Backbone/Core may also beadaptable to handle public (e.g., municipal, city, campus, etc.) and/orprivate (e.g., ports, campus, etc.) network infrastructures owned bydifferent local providers, and/or owned by the network implementer orstakeholder. The Backbone/Core may, for example, comprise and/orinterface with different Authentication, Authorization, and Accounting(AAA) mechanisms.

The Backbone/Core Infrastructure may, for example, support differentmodes of operation (e.g., L2 in port implementations, L3 in on-landpublic transportation implementations, utilizing any one or more of aplurality of different layers of digital IP networking, any combinationsthereof, equivalents thereof, etc.) or addressing pools. TheBackbone/Core may also for example, be agnostic to the Cloud provider(s)and/or Internet Service Provider(s). Additionally for example, theBackbone/Core may be agnostic to requests coming from any or allsubsystems of the network 100 (e.g., Mobile APs or OBUs (On BoardUnits), Fixed APs or RSUs (Road Side Units), MCs (Mobility Controllers)or LMAs (Local Mobility Anchors) or Network Controllers, etc.) and/orthird-party systems.

The Backbone/Core Infrastructure may, for example, comprise the abilityto utilize and/or interface with different data storage/processingsystems (e.g., MongoDB, MySql, Redis, etc.). The Backbone/CoreInfrastructure may further, for example, provide different levels ofsimultaneous access to the infrastructure, services, data, etc.

The example network 100 may also, for example, comprise a Fixed HotspotAccess Network. Various example characteristics of such a Fixed HotspotAccess Network 200 are shown at FIG. 2. The example network 200 may, forexample, share any or all characteristics with the other examplenetworks and/or network components 100, 300, 400, 500-570, 600, 700,800, and 900, discussed herein.

In the example network 200, the Fixed APs (e.g., the proprietary APs,the public third party APs, the private third party APs, etc.) may bedirectly connected to the local infrastructure provider and/or to thewireline/wireless backbone. Also for example, the example network 200may comprise a mesh between the various APs via wireless technologies.Note, however, that various wired technologies may also be utilizeddepending on the implementation. As shown, different fixed hotspotaccess networks can be connected to a same backbone provider, but mayalso be connected to different respective backbone providers. In anexample implementation utilizing wireless technology for backboneaccess, such an implementation may be relatively fault tolerant. Forexample, a Fixed AP may utilize wireless communications to the backbonenetwork (e.g., cellular, 3G, LTE, other wide or metropolitan areanetworks, etc.) if the backhaul infrastructure is down. Also forexample, such an implementation may provide for relatively easyinstallation (e.g., a Fixed AP with no cable power source that can beplaced virtually anywhere).

In the example network 200, the same Fixed AP can simultaneously provideaccess to multiple Fixed APs, Mobile APs (e.g., vehicle OBUs, etc.),devices, user devices, sensors, things, etc. For example, a plurality ofmobile hotspot access networks (e.g., OBU-based networks, etc.) mayutilize the same Fixed AP. Also for example, the same Fixed AP canprovide a plurality of simultaneous accesses to another single unit(e.g., another Fixed AP, Mobile AP, device, etc.), for example utilizingdifferent channels, different radios, etc.).

Note that a plurality of Fixed APs may be utilized forfault-tolerance/fail-recovery purposes. In an example implementation, aFixed AP and its fail-over AP may both be normally operational (e.g., ina same switch). Also for example, one or more Fixed APs may be placed inthe network at various locations in an inactive or monitoring mode, andready to become operational when needed (e.g., in response to a fault,in response to an emergency services need, in response to a data surge,etc.).

Referring back to FIG. 1, the example Fixed Hotspot Access Network isshown with a wireless communication link to a backbone provider (e.g.,to one or more Backbone Providers and/or Local InfrastructureProviders), to a Mobile Hotspot Access Network, to one or more End UserDevices, and to the Environment. Also, the example Fixed Hotspot AccessNetwork is shown with a wired communication link to one or more BackboneProviders, to the Mobile Hotspot Access Network, to one or more End UserDevices, and to the Environment. The Environment may comprise any of avariety of devices (e.g., in-vehicle networks, devices, and sensors;autonomous vehicle networks, devices, and sensors; maritime (orwatercraft) and port networks, devices, and sensors; generalcontrolled-space networks, devices, and sensors; residential networks,devices, and sensors; disaster recovery & emergency networks, devices,and sensors; military and aircraft networks, devices, and sensors; smartcity networks, devices, and sensors; event (or venue) networks, devices,and sensors; underwater and underground networks, devices, and sensors;agricultural networks, devices, and sensors; tunnel (auto, subway,train, etc.) networks, devices, and sensors; parking networks, devices,and sensors; security and surveillance networks, devices, and sensors;shipping equipment and container networks, devices, and sensors;environmental control or monitoring networks, devices, and sensors;municipal networks, devices, and sensors; waste management networks,devices, and sensors, road maintenance networks, devices, and sensors,traffic management networks, devices, and sensors; advertising networks,devices and sensors; etc.).

The example network 100 of FIG. 1 also comprises a Mobile Hotspot AccessNetwork. Various example characteristics of such a Mobile Hotspot AccessNetwork 300 are shown at FIG. 3. Note that various fixed networkcomponents (e.g., Fixed APs) are also illustrated. The example network300 may, for example, share any or all characteristics with the otherexample networks and/or network components 100, 200, 400, 500-570, 600,700, 800, and 900 discussed herein.

The example network 300 comprises a wide variety of Mobile APs (orhotspots) that provide access to user devices, provide for sensor datacollection, provide multi-hop connectivity to other Mobile APs, etc. Forexample, the example network 300 comprises vehicles from differentfleets (e.g., aerial, terrestrial, underground, (under)water, etc.). Forexample, the example network 300 comprises one or more massdistribution/transportation fleets, one or more mass passengertransportation fleets, private/public shared-user fleets, privatevehicles, urban and municipal fleets, maintenance fleets, drones,watercraft (e.g., boats, ships, speedboats, tugboats, barges, etc.),emergency fleets (e.g., police, ambulance, firefighter, etc.), etc.

The example network 300, for example, shows vehicles from differentfleets directly connected and/or mesh connected, for example using sameor different communication technologies. The example network 300 alsoshows fleets simultaneously connected to different Fixed APs, which mayor may not belong to different respective local infrastructureproviders. As a fault-tolerance mechanism, the example network 300 mayfor example comprise the utilization of long-range wirelesscommunication network (e.g., cellular, 3G, 4G, LTE, etc.) in vehicles ifthe local network infrastructure is down or otherwise unavailable. Asame vehicle (e.g., Mobile AP or OBU) can simultaneously provide accessto multiple vehicles, devices, things, etc., for example using a samecommunication technology (e.g., shared channels and/or differentrespective channels thereof) and/or using a different respectivecommunication technology for each. Also for example, a same vehicle canprovide multiple accesses to another vehicle, device, thing, etc., forexample using a same communication technology (e.g., shared channelsand/or different respective channels thereof, and/or using a differentcommunication technology).

Additionally, multiple network elements may be connected together toprovide for fault-tolerance or fail recovery, increased throughput, orto achieve any or a variety of a client's networking needs, many ofexamples of which are provided herein. For example, two Mobile APs (orOBUs) may be installed in a same vehicle, etc.

Referring back to FIG. 1, the example Mobile Hotspot Access Network isshown with a wireless communication link to a backbone provider (e.g.,to one or more Backbone Providers and/or Local InfrastructureProviders), to a Fixed Hotspot Access Network, to one or more End UserDevice, and to the Environment (e.g., to any one of more of the sensorsor systems discussed herein, any other device or machine, etc.). Thoughthe Mobile Hotspot Access Network is not shown having a wired link tothe various other components, there may (at least at times) be such awired link, at least temporarily.

The example network 100 of FIG. 1 also comprises a set of End-UserDevices. Various example end user devices are shown at FIG. 4. Note thatvarious other network components (e.g., Fixed Hotspot Access Networks,Mobile Hotspot Access Network(s), the Backbone/Core, etc.) are alsoillustrated. The example network 400 may, for example, share any or allcharacteristics with the other example networks and/or networkcomponents 100, 200, 300, 500-570, 600, 700, 800, and 900, discussedherein.

The example network 400 shows various mobile networked devices. Suchnetwork devices may comprise end-user devices (e.g., smartphones,tablets, smartwatches, laptop computers, webcams, personal gamingdevices, personal navigation devices, personal media devices, personalcameras, health-monitoring devices, personal location devices,monitoring panels, printers, etc.). Such networked devices may alsocomprise any of a variety of devices operating in the generalenvironment, where such devices might not for example be associated witha particular user (e.g. any or all of the sensor devices discussedherein, vehicle sensors, municipal sensors, fleet sensors road sensors,environmental sensors, security sensors, traffic sensors, waste sensors,meteorological sensors, any of a variety of different types of municipalor enterprise equipment, etc.). Any of such networked devices can beflexibly connected to distinct backbone, fixed hotspot access networks,mobile hotspot access networks, etc., using the same or differentwired/wireless technologies.

A mobile device may, for example, operate as an AP to providesimultaneous access to multiple devices/things, which may then form adhoc networks, interconnecting devices ultimately connected to distinctbackbone networks, fixed hotspot, and/or mobile hotspot access networks.Devices (e.g., any or all of the devices or network nodes discussedherein) may, for example, have redundant technologies to access distinctbackbone, fixed hotspot, and/or mobile hotspot access networks, forexample for fault-tolerance and/or load-balancing purposes (e.g.,utilizing multiple SIM cards, etc.). A device may also, for example,simultaneously access distinct backbone, fixed hotspot access networks,and/or mobile hotspot access networks, belonging to the same provider orto different respective providers. Additionally for example, a devicecan provide multiple accesses to another device/thing (e.g., viadifferent channels, radios, etc.).

Referring back to FIG. 1, the example End-User Devices are shown with awireless communication link to a backbone provider (e.g., to one or moreBackbone Providers and/or Local Infrastructure Providers), to a FixedHotspot Access Network, to a Mobile Hotspot Access Network, and to theEnvironment. Also for example, the example End-User Devices are shownwith a wired communication link to a backbone provider, to a FixedHotspot Access Network, to a Mobile Hotspot Access Network, and to theEnvironment.

The example network 100 illustrated in FIG. 1 has a flexiblearchitecture that is adaptable at implementation time (e.g., fordifferent use cases) and/or adaptable in real-time, for example asnetwork components enter and leave service. FIGS. 5A-5C illustrate suchflexibility by providing example modes (or configurations). The examplenetworks 500-570 may, for example, share any or all characteristics withthe other example networks and/or network components 100, 200, 300, 400,600, 700, 800, and 900, discussed herein. For example and withoutlimitation, any or all of the communication links (e.g., wired links,wireless links, etc.) shown in the example networks 500-570 aregenerally analogous to similarly positioned communication links shown inthe example network 100 of FIG. 1.

For example, various aspects of this disclosure provide communicationnetwork architectures, systems, and methods for supporting a dynamicallyconfigurable communication network comprising a complex array of bothstatic and moving communication nodes (e.g., the Internet of movingthings). For example, a communication network implemented in accordancewith various aspects of the present disclosure may operate in one of aplurality of modalities comprising various fixed nodes, mobile nodes,and/or a combination thereof, which are selectable to yield any of avariety of system goals (e.g., increased throughput, reduced latency andpacket loss, increased availability and robustness of the system, extraredundancy, increased responsiveness, increased security in thetransmission of data and/or control packets, reduced number ofconfiguration changes by incorporating smart thresholds (e.g., change oftechnology, change of certificate, change of IP, etc.), providingconnectivity in dead zones or zones with difficult access, reducing thecosts for maintenance and accessing the equipment forupdating/upgrading, etc.). At least some of such modalities may, forexample, be entirely comprised of fixed-position nodes, at leasttemporarily if not permanently.

For illustrative simplicity, many of the example aspects shown in theexample system or network 100 of FIG. 1 (and other Figures herein) areomitted from FIGS. 5A-5C, but may be present. For example, the Cloud,Internet, and ISP aspects shown in FIG. 1 and in other Figures are notexplicitly shown in FIGS. 5A-5C, but may be present in any of theexample configurations (e.g., as part of the backbone provider networkor coupled thereto, as part of the local infrastructure provider networkor coupled thereto, etc.).

For example, the first example mode 500 is presented as a normalexecution mode, for example a mode (or configuration) in which all ofthe components discussed herein are present. For example, thecommunication system in the first example mode 500 comprises a backboneprovider network, a local infrastructure provider network, a fixedhotspot access network, a mobile hotspot access network, end-userdevices, and environment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the first example mode 500 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the localinfrastructure provider network (or any component thereof), fixedhotspot access network (or any component thereof), the end-user devices,and/or environment devices via a wired link. Note that such a wiredcoupling may be temporary. Also note that in various exampleconfigurations, the backbone provider network may also, at leasttemporarily, be communicatively coupled to the mobile hotspot accessnetwork (or any component thereof) via one or more wired (or tethered)links.

Also shown in FIG. 5A, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the first example mode 500 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the fixed hotspot access network (or anycomponent thereof), the mobile hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wireless links. Also note that in various example configurations,the backbone provider network may also be communicatively coupled to thelocal infrastructure provider network via one or more wireless (ornon-tethered) links.

Though not shown in the first example mode 500 (or any of the examplemodes of FIGS. 5A-5C), one or more servers may be communicativelycoupled to the backbone provider network and/or the local infrastructurenetwork. FIG. 1 provides an example of Cloud servers beingcommunicatively coupled to the backbone provider network via theInternet.

As additionally shown in FIG. 5A, and in FIG. 1 in more detail, thelocal infrastructure provider network may be communicatively coupled toany or all of the other elements present in the first example mode 500(or configuration) via one or more wired (or tethered) links. Forexample, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), fixed hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wired links. Note that such a wired coupling may be temporary. Alsonote that in various example configurations, the local infrastructureprovider network may also, at least temporarily, be communicativelycoupled to the mobile hotspot access network (or any component thereof)via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the first example mode 500 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), the fixed hotspot access network (or any componentthereof), the mobile hotspot access network (or any component thereof),the end-user devices, and/or environment devices via one or morewireless links. Note that the communication link shown in the firstexample mode 500 of FIG. 5A between the local infrastructure providernetwork and the fixed hotspot access network may be wired and/orwireless.

The fixed hotspot access network is also shown in the first example mode500 to be communicatively coupled to the mobile hotspot access network,the end-user devices, and/or environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein. Additionally, the mobile hotspot access network is further shownin the first example mode 500 to be communicatively coupled to theend-user devices and/or environment devices via one or more wirelesslinks. Many examples of such wireless coupling are provided herein.Further, the end-user devices are also shown in the first example mode500 to be communicatively coupled to the environment devices via one ormore wireless links. Many examples of such wireless coupling areprovided herein. Note that in various example implementations any ofsuch wireless links may instead (or in addition) comprise a wired (ortethered) link.

In the first example mode 500 (e.g., the normal mode), information (ordata) may be communicated between an end-user device and a server (e.g.,a computer system) via the mobile hotspot access network, the fixedhotspot access network, the local infrastructure provider network,and/or the backbone provider network. As will be seen in the variousexample modes presented herein, such communication may flexibly occurbetween an end-user device and a server via any of a variety ofdifferent communication pathways, for example depending on theavailability of a network, depending on bandwidth utilization goals,depending on communication priority, depending on communication time (orlatency) and/or reliability constraints, depending on cost, etc. Forexample, information communicated between an end user device and aserver may be communicated via the fixed hotspot access network, thelocal infrastructure provider network, and/or the backbone providernetwork (e.g., skipping the mobile hotspot access network). Also forexample, information communicated between an end user device and aserver may be communicated via the backbone provider network (e.g.,skipping the mobile hotspot access network, fixed hotspot accessnetwork, and/or local infrastructure provider network).

Similarly, in the first example mode 500 (e.g., the normal mode),information (or data) may be communicated between an environment deviceand a server via the mobile hotspot access network, the fixed hotspotaccess network, the local infrastructure provider network, and/or thebackbone provider network. Also for example, an environment device maycommunicate with or through an end-user device (e.g., instead of or inaddition to the mobile hotspot access network). As will be seen in thevarious example modes presented herein, such communication may flexiblyoccur between an environment device and a server (e.g., communicativelycoupled to the local infrastructure provider network and/or backboneprovider network) via any of a variety of different communicationpathways, for example depending on the availability of a network,depending on bandwidth utilization goals, depending on communicationpriority, depending on communication time (or latency) and/orreliability constraints, depending on cost, etc.

For example, information communicated between an environment device anda server may be communicated via the fixed hotspot access network, thelocal infrastructure provider network, and/or the backbone providernetwork (e.g., skipping the mobile hotspot access network). Also forexample, information communicated between an environment device and aserver may be communicated via the backbone provider network (e.g.,skipping the mobile hotspot access network, fixed hotspot accessnetwork, and/or local infrastructure provider network). Additionally forexample, information communicated between an environment device and aserver may be communicated via the local infrastructure provider network(e.g., skipping the mobile hotspot access network and/or fixed hotspotaccess network).

As discussed herein, the example networks presented herein areadaptively configurable to operate in any of a variety of differentmodes (or configurations). Such adaptive configuration may occur atinitial installation and/or during subsequent controlled networkevolution (e.g., adding or removing any or all of the network componentsdiscussed herein, expanding or removing network capacity, adding orremoving coverage areas, adding or removing services, etc.). Suchadaptive configuration may also occur in real-time, for example inresponse to real-time changes in network conditions (e.g., networks orcomponents thereof being available or not based on vehicle oruser-device movement, network or component failure, network or componentreplacement or augmentation activity, network overloading, etc.). Thefollowing example modes are presented to illustrate characteristics ofvarious modes in which a communication system may operate in accordancewith various aspects of the present disclosure. The following examplemodes will generally be discussed in relation to the first example mode500 (e.g., the normal execution mode). Note that such example modes aremerely illustrative and not limiting.

The second example mode (or configuration) 510 (e.g., a no backboneavailable mode) may, for example, share any or all characteristics withthe first example mode 500, albeit without the backbone provider networkand communication links therewith. For example, the communication systemin the second example mode 510 comprises a local infrastructure providernetwork, a fixed hotspot access network, a mobile hotspot accessnetwork, end-user devices, and environment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the localinfrastructure provider network may be communicatively coupled to any orall of the other elements present in the second example mode 510 (orconfiguration) via one or more wired (or tethered) links. For example,the local infrastructure provider network may be communicatively coupledto the fixed hotspot access network (or any component thereof), theend-user devices, and/or environment devices via one or more wiredlinks. Note that such a wired coupling may be temporary. Also note thatin various example configurations, the local infrastructure providernetwork may also, at least temporarily, be communicatively coupled tothe mobile hotspot access network (or any component thereof) via one ormore wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the second example mode 510 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the fixed hotspot access network (or anycomponent thereof), the mobile hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wireless links. Note that the communication link(s) shown in thesecond example mode 510 of FIG. 5A between the local infrastructureprovider network and the fixed hotspot access network may be wiredand/or wireless.

The fixed hotspot access network is also shown in the second examplemode 510 to be communicatively coupled to the mobile hotspot accessnetwork, the end-user devices, and/or environment devices via one ormore wireless links. Many examples of such wireless coupling areprovided herein. Additionally, the mobile hotspot access network isfurther shown in the second example mode 510 to be communicativelycoupled to the end-user devices and/or environment devices via one ormore wireless links. Many examples of such wireless coupling areprovided herein. Further, the end-user devices are also shown in thesecond example mode 510 to be communicatively coupled to the environmentdevices via one or more wireless links. Many examples of such wirelesscoupling are provided herein. Note that in various exampleimplementations any of such wireless links may instead (or in addition)comprise a wired (or tethered) link.

In the second example mode 510 (e.g., the no backbone available mode),information (or data) may be communicated between an end-user device anda server (e.g., a computer, etc.) via the mobile hotspot access network,the fixed hotspot access network, and/or the local infrastructureprovider network. As will be seen in the various example modes presentedherein, such communication may flexibly occur between an end-user deviceand a server via any of a variety of different communication pathways,for example depending on the availability of a network, depending onbandwidth utilization goals, depending on communication priority,depending on communication time (or latency) and/or reliabilityconstraints, depending on cost, etc. For example, informationcommunicated between an end user device and a server may be communicatedvia the fixed hotspot access network and/or the local infrastructureprovider network (e.g., skipping the mobile hotspot access network).Also for example, information communicated between an end user deviceand a server may be communicated via the local infrastructure providernetwork (e.g., skipping the mobile hotspot access network and/or fixedhotspot access network).

Similarly, in the second example mode 510 (e.g., the no backboneavailable mode), information (or data) may be communicated between anenvironment device and a server via the mobile hotspot access network,the fixed hotspot access network, and/or the local infrastructureprovider network. Also for example, an environment device maycommunicate with or through an end-user device (e.g., instead of or inaddition to the mobile hotspot access network). As will be seen in thevarious example modes presented herein, such communication may flexiblyoccur between an environment device and a server (e.g., communicativelycoupled to the local infrastructure provider network) via any of avariety of different communication pathways, for example depending onthe availability of a network, depending on bandwidth utilization goals,depending on communication priority, depending on communication time (orlatency) and/or reliability constraints, depending on cost, etc.

For example, information communicated between an environment device anda server may be communicated via the fixed hotspot access network and/orthe local infrastructure provider network (e.g., skipping the mobilehotspot access network). Also for example, information communicatedbetween an environment device and a server may be communicated via thelocal infrastructure provider network (e.g., skipping the mobile hotspotaccess network and/or fixed hotspot access network).

The second example mode 510 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. Forexample, due to security and/or privacy goals, the second example mode510 may be utilized so that communication access to the public Cloudsystems, the Internet in general, etc., is not allowed. For example, allnetwork control and management functions may be within the localinfrastructure provider network (e.g., wired local network, etc.) and/orthe fixed access point network.

In an example implementation, the communication system might be totallyowned, operated and/or controlled by a local port authority. No extraexpenses associated with cellular connections need be spent. Forexample, cellular connection capability (e.g., in Mobile APs, Fixed APs,end user devices, environment devices, etc.) need not be provided. Notealso that the second example mode 510 may be utilized in a scenario inwhich the backbone provider network is normally available but iscurrently unavailable (e.g., due to server failure, due to communicationlink failure, due to power outage, due to a temporary denial of service,etc.).

The third example mode (or configuration) 520 (e.g., a no localinfrastructure and fixed hotspots available mode) may, for example,share any or all characteristics with the first example mode 500, albeitwithout the local infrastructure provider network, the fixed hotspotaccess network, and communication links therewith. For example, thecommunication system in the third example mode 520 comprises a backboneprovider network, a mobile hotspot access network, end-user devices, andenvironment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the third example mode 520 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the end-user devicesand/or environment devices via one or more wired links. Note that such awired coupling may be temporary. Also note that in various exampleconfigurations, the backbone provider network may also, at leasttemporarily, be communicatively coupled to the mobile hotspot accessnetwork (or any component thereof) via one or more wired (or tethered)links.

Also shown in FIG. 5A, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the third example mode 520 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the mobile hotspot access network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wireless links.

The mobile hotspot access network is further shown in the third examplemode 520 to be communicatively coupled to the end-user devices and/orenvironment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein. Further, the end-userdevices are also shown in the third example mode 520 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein. Note that in various example implementations any of suchwireless links may instead (or in addition) comprise a wired (ortethered) link.

In the third example mode 520 (e.g., the no local infrastructure andfixed hotspots available mode), information (or data) may becommunicated between an end-user device and a server (e.g., a computer,etc.) via the mobile hotspot access network and/or the backbone providernetwork. As will be seen in the various example modes presented herein,such communication may flexibly occur between an end-user device and aserver via any of a variety of different communication pathways, forexample depending on the availability of a network, depending onbandwidth utilization goals, depending on communication priority,depending on communication time (or latency) and/or reliabilityconstraints, depending on cost, etc. For example, informationcommunicated between an end user device and a server may be communicatedvia the backbone provider network (e.g., skipping the mobile hotspotaccess network).

Similarly, in the third example mode 520 (e.g., the no localinfrastructure and fixed hotspots available mode), information (or data)may be communicated between an environment device and a server via themobile hotspot access network and/or the backbone provider network. Alsofor example, an environment device may communicate with or through anend-user device (e.g., instead of or in addition to the mobile hotspotaccess network). As will be seen in the various example modes presentedherein, such communication may flexibly occur between an environmentdevice and a server (e.g., communicatively coupled to the backboneprovider network) via any of a variety of different communicationpathways, for example depending on the availability of a network,depending on bandwidth utilization goals, depending on communicationpriority, depending on communication time (or latency) and/orreliability constraints, depending on cost, etc. For example,information communicated between an environment device and a server maybe communicated via the backbone provider network (e.g., skipping themobile hotspot access network).

In the third example mode 520, all control/management functions may forexample be implemented within the Cloud. For example, since the mobilehotspot access network does not have a communication link via a fixedhotspot access network, the Mobile APs may utilize a direct connection(e.g., a cellular connection) with the backbone provider network (orCloud). If a Mobile AP does not have such capability, the Mobile AP mayalso, for example, utilize data access provided by the end-user devicescommunicatively coupled thereto (e.g., leveraging the data plans of theend-user devices).

The third example mode 520 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation, the third example mode 520 may be utilized in anearly stage of a larger deployment, for example deployment that willgrow into another mode (e.g., the example first mode 500, example fourthmode 530, etc.) as more communication system equipment is installed.Note also that the third example mode 520 may be utilized in a scenarioin which the local infrastructure provider network and fixed hotspotaccess network are normally available but are currently unavailable(e.g., due to equipment failure, due to communication link failure, dueto power outage, due to a temporary denial of service, etc.).

The fourth example mode (or configuration) 530 (e.g., a no fixedhotspots available mode) may, for example, share any or allcharacteristics with the first example mode 500, albeit without thefixed hotspot access network and communication links therewith. Forexample, the communication system in the fourth example mode 530comprises a backbone provider network, a local infrastructure providernetwork, a mobile hotspot access network, end-user devices, andenvironment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the fourth example mode 530 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the localinfrastructure provider network (or any component thereof), the end-userdevices, and/or environment devices via one or more wired links. Notethat such a wired coupling may be temporary. Also note that in variousexample configurations, the backbone provider network may also, at leasttemporarily, be communicatively coupled to the mobile hotspot accessnetwork (or any component thereof) via one or more wired (or tethered)links.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the fourth example mode 530 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the mobile hotspot access network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wireless links. Also note that in various exampleconfigurations, the backbone provider network may also becommunicatively coupled to the local infrastructure provider network viaone or more wireless (or non-tethered) links.

As additionally shown in FIG. 5B, and in FIG. 1 in more detail, thelocal infrastructure provider network may be communicatively coupled toany or all of the other elements present in the fourth example mode 530(or configuration) via one or more wired (or tethered) links. Forexample, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wired links. Note that such a wired coupling may betemporary. Also note that in various example configurations, the localinfrastructure provider network may also, at least temporarily, becommunicatively coupled to the mobile hotspot access network (or anycomponent thereof) via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the fourth example mode 530 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), the mobile hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wireless links.

The mobile hotspot access network is further shown in the fourth examplemode 530 to be communicatively coupled to the end-user devices and/orenvironment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein. Further, the end-userdevices are also shown in the fourth example mode 530 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein.

In the fourth example mode 530 (e.g., the no fixed hotspots mode),information (or data) may be communicated between an end-user device anda server via the mobile hotspot access network, the local infrastructureprovider network, and/or the backbone provider network. As will be seenin the various example modes presented herein, such communication mayflexibly occur between an end-user device and a server via any of avariety of different communication pathways, for example depending onthe availability of a network, depending on bandwidth utilization goals,depending on communication priority, depending on communication time (orlatency) and/or reliability constraints, depending on cost, etc. Forexample, information communicated between an end user device and aserver may be communicated via the local infrastructure provider networkand/or the backbone provider network (e.g., skipping the mobile hotspotaccess network). Also for example, information communicated between anend user device and a server may be communicated via the backboneprovider network (e.g., skipping the mobile hotspot access networkand/or local infrastructure provider network).

Similarly, in the fourth example mode 530 (e.g., the no fixed hotspotsavailable mode), information (or data) may be communicated between anenvironment device and a server via the mobile hotspot access network,the local infrastructure provider network, and/or the backbone providernetwork. Also for example, an environment device may communicate with orthrough an end-user device (e.g., instead of or in addition to themobile hotspot access network). As will be seen in the various examplemodes presented herein, such communication may flexibly occur between anenvironment device and a server (e.g., communicatively coupled to thelocal infrastructure provider network and/or backbone provider network)via any of a variety of different communication pathways, for exampledepending on the availability of a network, depending on bandwidthutilization goals, depending on communication priority, depending oncommunication time (or latency) and/or reliability constraints,depending on cost, etc.

For example, information communicated between an environment device anda server may be communicated via the local infrastructure providernetwork and/or the backbone provider network (e.g., skipping the mobilehotspot access network). Also for example, information communicatedbetween an environment device and a server may be communicated via thebackbone provider network (e.g., skipping the mobile hotspot accessnetwork and/or local infrastructure provider network). Additionally forexample, information communicated between an environment device and aserver may be communicated via the local infrastructure provider network(e.g., skipping the mobile hotspot access network and/or backboneprovider network).

In the fourth example mode 530, in an example implementation, some ofthe control/management functions may for example be implemented withinthe local backbone provider network (e.g., within a client premises).For example, communication to the local infrastructure provider may beperformed through the backbone provider network (or Cloud). Note that ina scenario in which there is a direct communication pathway between thelocal infrastructure provider network and the mobile hotspot accessnetwork, such communication pathway may be utilized.

For example, since the mobile hotspot access network does not have acommunication link via a fixed hotspot access network, the Mobile APsmay utilize a direct connection (e.g., a cellular connection) with thebackbone provider network (or Cloud). If a Mobile AP does not have suchcapability, the Mobile AP may also, for example, utilize data accessprovided by the end-user devices communicatively coupled thereto (e.g.,leveraging the data plans of the end-user devices).

The fourth example mode 530 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation, the fourth example mode 530 may be utilized inan early stage of a larger deployment, for example a deployment thatwill grow into another mode (e.g., the example first mode 500, etc.) asmore communication system equipment is installed. The fourth examplemode 530 may, for example, be utilized in a scenario in which there isno fiber (or other) connection available for Fixed APs (e.g., in amaritime scenario, in a plantation scenario, etc.), or in which a FixedAP is difficult to access or connect. For example, one or more MobileAPs of the mobile hotspot access network may be used as gateways toreach the Cloud. The fourth example mode 530 may also, for example, beutilized when a vehicle fleet and/or the Mobile APs associated therewithare owned by a first entity and the Fixed APs are owned by anotherentity, and there is no present agreement for communication between theMobile APs and the Fixed APs. Note also that the fourth example mode 530may be utilized in a scenario in which the fixed hotspot access networkis normally available but are currently unavailable (e.g., due toequipment failure, due to communication link failure, due to poweroutage, due to a temporary denial of service, etc.).

The fifth example mode (or configuration) 540 (e.g., a no mobilehotspots available mode) may, for example, share any or allcharacteristics with the first example mode 500, albeit without themobile hotspot access network and communication links therewith. Forexample, the communication system in the fifth example mode 540comprises a backbone provider network, a local infrastructure providernetwork, a fixed hotspot access network, end-user devices, andenvironment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the fifth example mode 540 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the localinfrastructure provider network (or any component thereof), fixedhotspot access network (or any component thereof), the end-user devices,and/or environment devices via one or more wired links. Note that such awired coupling may be temporary.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the fifth example mode 540 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the fixed hotspot access network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wireless links. Also note that in various exampleconfigurations, the backbone provider network may also becommunicatively coupled to the local infrastructure provider network viaone or more wireless (or non-tethered) links.

As additionally shown in FIG. 5B, and in FIG. 1 in more detail, thelocal infrastructure provider network may be communicatively coupled toany or all of the other elements present in the fifth example mode 540(or configuration) via one or more wired (or tethered) links. Forexample, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), fixed hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wired links. Note that such a wired coupling may be temporary. Alsonote that in various example configurations, the local infrastructureprovider network may also, at least temporarily, be communicativelycoupled to the mobile hotspot access network (or any component thereof)via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the fifth example mode 540 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the backbone provider network, the fixedhotspot access network (or any component thereof), the end-user devices,and/or environment devices via one or more wireless links. Note that thecommunication link(s) shown in the fifth example mode 540 of FIG. 5Bbetween the local infrastructure provider network and the fixed hotspotaccess network may be wired and/or wireless.

The fixed hotspot access network is also shown in the fifth example mode540 to be communicatively coupled to the end-user devices and/orenvironment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein. Further, the end-userdevices are also shown in the fifth example mode 540 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein.

In the fifth example mode 540 (e.g., the no mobile hotspots availablemode), information (or data) may be communicated between an end-userdevice and a server via the fixed hotspot access network, the localinfrastructure provider network, and/or the backbone provider network.As will be seen in the various example modes presented herein, suchcommunication may flexibly occur between an end-user device and a servervia any of a variety of different communication pathways, for exampledepending on the availability of a network, depending on bandwidthutilization goals, depending on communication priority, depending oncommunication time (or latency) and/or reliability constraints,depending on cost, etc. For example, information communicated between anend user device and a server may be communicated via the localinfrastructure provider network, and/or the backbone provider network(e.g., skipping the fixed hotspot access network). Also for example,information communicated between an end user device and a server may becommunicated via the backbone provider network (e.g., skipping the fixedhotspot access network and/or local infrastructure provider network).

Similarly, in the fifth example mode 540 (e.g., the no mobile hotspotsavailable mode), information (or data) may be communicated between anenvironment device and a server via the fixed hotspot access network,the local infrastructure provider network, and/or the backbone providernetwork. Also for example, an environment device may communicate with orthrough an end-user device (e.g., instead of or in addition to the fixedhotspot access network). As will be seen in the various example modespresented herein, such communication may flexibly occur between anenvironment device and a server (e.g., communicatively coupled to thelocal infrastructure provider network and/or backbone provider network)via any of a variety of different communication pathways, for exampledepending on the availability of a network, depending on bandwidthutilization goals, depending on communication priority, depending oncommunication time (or latency) and/or reliability constraints,depending on cost, etc.

For example, information communicated between an environment device anda server may be communicated via the local infrastructure providernetwork and/or the backbone provider network (e.g., skipping the fixedhotspot access network). Also for example, information communicatedbetween an environment device and a server may be communicated via thebackbone provider network (e.g., skipping the fixed hotspot accessnetwork and/or local infrastructure provider network). Additionally forexample, information communicated between an environment device and aserver may be communicated via the local infrastructure provider network(e.g., skipping the fixed hotspot access network and/or the backboneprovider network).

In the fifth example mode 540, in an example implementation, theend-user devices and environment devices may communicate directly toFixed APs (e.g., utilizing Ethernet, Wi-Fi, etc.). Also for example, theend-user devices and/or environment devices may communicate directlywith the backbone provider network (e.g., utilizing cellularconnections, etc.).

The fifth example mode 540 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation in which end-user devices and/or environmentdevices may communicate directly with Fixed APs, such communication maybe utilized instead of Mobile AP communication. For example, the fixedhotspot access network might provide coverage for all desired areas.

Note also that the fifth example mode 540 may be utilized in a scenarioin which the fixed hotspot access network is normally available but iscurrently unavailable (e.g., due to equipment failure, due tocommunication link failure, due to power outage, due to a temporarydenial of service, etc.).

The sixth example mode (or configuration) 550 (e.g., the no fixed/mobilehotspots and local infrastructure available mode) may, for example,share any or all characteristics with the first example mode 500, albeitwithout the local infrastructure provider network, fixed hotspot accessnetwork, mobile hotspot access network, and communication linkstherewith. For example, the communication system in the sixth examplemode 550 comprises a backbone provider network, end-user devices, andenvironment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the sixth example mode 550 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the end-user devicesand/or environment devices via one or more wired links. Note that such awired coupling may be temporary.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the sixth example mode 550 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the end-user devices and/or environmentdevices via one or more wireless links.

The end-user devices are also shown in the sixth example mode 550 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein.

In the sixth example mode 550 (e.g., the no fixed/mobile hotspots andlocal infrastructure available mode), information (or data) may becommunicated between an end-user device and a server via the backboneprovider network. Similarly, in the sixth example mode 550 (e.g., the nofixed/mobile hotspots and local infrastructure mode), information (ordata) may be communicated between an environment device and a server viathe backbone provider network. Also for example, an environment devicemay communicate with or through an end-user device (e.g., instead of orin addition to the mobile hotspot access network).

The sixth example mode 550 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation, for example in which an end-user has not yetsubscribed to the communication system, the end-user device maysubscribe to the system through a Cloud application and by communicatingdirectly with the backbone provider network (e.g., via cellular link,etc.). The sixth example mode 550 may also, for example, be utilized inrural areas in which Mobile AP presence is sparse, Fixed AP installationis difficult or impractical, etc.

Note also that the sixth example mode 550 may be utilized in a scenarioin which the infrastructure provider network, fixed hotspot accessnetwork, and/or mobile hotspot access network are normally available butare currently unavailable (e.g., due to equipment failure, due tocommunication link failure, due to power outage, due to a temporarydenial of service, etc.).

The seventh example mode (or configuration) 560 (e.g., the no backboneand mobile hotspots available mode) may, for example, share any or allcharacteristics with the first example mode 500, albeit without thebackbone provider network, mobile hotspot access network, andcommunication links therewith. For example, the communication system inthe seventh example mode 560 comprises a local infrastructure providernetwork, fixed hotspot access network, end-user devices, and environmentdevices.

As shown in FIG. 5C, and in FIG. 1 in more detail, the localinfrastructure provider network may be communicatively coupled to any orall of the other elements present in the seventh example mode 560 (orconfiguration) via one or more wired (or tethered) links. For example,the local infrastructure provider network may be communicatively coupledto the fixed hotspot access network (or any component thereof), theend-user devices, and/or environment devices via one or more wiredlinks. Note that such a wired coupling may be temporary.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the seventh example mode 560 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the fixed hotspot access network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wireless links. Note that the communication link shown inthe seventh example mode 560 of FIG. 5C between the local infrastructureprovider network and the fixed hotspot access network may be wiredand/or wireless.

The fixed hotspot access network is also shown in the seventh examplemode 560 to be communicatively coupled to the end-user devices and/orenvironment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein. Additionally, the end-userdevices are also shown in the seventh example mode 560 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein.

In the seventh example mode 560 (e.g., the no backbone and mobilehotspots available mode), information (or data) may be communicatedbetween an end-user device and a server via the fixed hotspot accessnetwork and/or the local infrastructure provider network. As will beseen in the various example modes presented herein, such communicationmay flexibly occur between an end-user device and a server via any of avariety of different communication pathways, for example depending onthe availability of a network, depending on bandwidth utilization goals,depending on communication priority, depending on communication time (orlatency) and/or reliability constraints, depending on cost, etc. Forexample, information communicated between an end user device and aserver may be communicated via the local infrastructure provider network(e.g., skipping the fixed hotspot access network).

Similarly, in the seventh example mode 560 (e.g., the no backbone andmobile hotspots available mode), information (or data) may becommunicated between an environment device and a server via the fixedhotspot access network and/or the local infrastructure provider network.Also for example, an environment device may communicate with or throughan end-user device (e.g., instead of or in addition to the mobilehotspot access network). As will be seen in the various example modespresented herein, such communication may flexibly occur between anenvironment device and a server (e.g., communicatively coupled to thelocal infrastructure provider network) via any of a variety of differentcommunication pathways, for example depending on the availability of anetwork, depending on bandwidth utilization goals, depending oncommunication priority, depending on communication time (or latency)and/or reliability constraints, depending on cost, etc. For example,information communicated between an environment device and a server maybe communicated via the local infrastructure provider network (e.g.,skipping the fixed hotspot access network).

The seventh example mode 560 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample controlled space implementation, Cloud access might not beprovided (e.g., for security reasons, privacy reasons, etc.), and full(or sufficient) coverage of the coverage area is provided by the fixedhotspot access network, and thus the mobile hotspot access network isnot needed. For example, the end-user devices and environment devicesmay communicate directly (e.g., via Ethernet, Wi-Fi, etc.) with theFixed APs

Note also that the seventh example mode 560 may be utilized in ascenario in which the backbone provider network and/or fixed hotspotaccess network are normally available but are currently unavailable(e.g., due to equipment failure, due to communication link failure, dueto power outage, due to a temporary denial of service, etc.).

The eighth example mode (or configuration) 570 (e.g., the no backbone,fixed hotspots, and local infrastructure available mode) may, forexample, share any or all characteristics with the first example mode500, albeit without the backbone provider network, local infrastructureprovider network, fixed hotspot access network, and communication linkstherewith. For example, the communication system in the eighth examplemode 570 comprises a mobile hotspot access network, end-user devices,and environment devices.

As shown in FIG. 5C, and in FIG. 1 in more detail, the mobile hotspotaccess network is shown in the eighth example mode 570 to becommunicatively coupled to the end-user devices and/or environmentdevices via one or more wireless links. Many examples of such wirelesscoupling are provided herein. Further, the end-user devices are alsoshown in the eighth example mode 570 to be communicatively coupled tothe environment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein.

In the eighth example mode 570 (e.g., the no backbone, fixed hotspots,and local infrastructure available mode), information (or data) mightnot (at least currently) be communicated between an end-user device anda server (e.g., a coupled to the backbone provider network, localinfrastructure provider network, etc.). Similarly, information (or data)might not (at least currently) be communicated between an environmentdevice and a server (e.g., a coupled to the backbone provider network,local infrastructure provider network, etc.). Note that the environmentdevice may communicate with or through an end-user device (e.g., insteadof or in addition to the mobile hotspot access network).

The eighth example mode 570 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation, the eighth example mode 570 may be utilized forgathering and/or serving data (e.g., in a delay-tolerant networkingscenario), providing peer-to-peer communication through the mobilehotspot access network (e.g., between clients of a single Mobile AP,between clients of respective different Mobile APs, etc.), etc. Inanother example scenario, the eighth example mode 570 may be utilized ina scenario in which vehicle-to-vehicle communications are prioritizedabove vehicle-to-infrastructure communications. In yet another examplescenario, the eighth example mode 570 may be utilized in a scenario inwhich all infrastructure access is lost (e.g., in tunnels, parkinggarages, etc.).

Note also that the eighth example mode 570 may be utilized in a scenarioin which the backbone provider network, local infrastructure providernetwork, and/or fixed hotspot access network are normally available butare currently unavailable (e.g., due to equipment failure, due tocommunication link failure, due to power outage, due to a temporarydenial of service, etc.).

As shown and discussed herein, it is beneficial to have a genericplatform that allows multi-mode communications of multiple users ormachines within different environments, using multiple devices withmultiple technologies, connected to multiple moving/static things withmultiple technologies, forming wireless (mesh) hotspot networks overdifferent environments, connected to multiple wired/wirelessinfrastructure/network backbone providers, ultimately connected to theInternet, Cloud or private network infrastructure.

FIG. 6 shows yet another block diagram of an example networkconfiguration, in accordance with various aspects of the presentdisclosure. The example network 600 may, for example, share any or allcharacteristics with the other example networks and/or networkcomponents 100, 200, 300, 400, 500-570, 700, 800, and 900, discussedherein. Notably, the example network 600 shows a plurality of Mobile APs(or OBUs), each communicatively coupled to a Fixed AP (or RSU), whereeach Mobile AP may provide network access to a vehicle network (e.g.,comprising other vehicles or vehicle networks, user devices, sensordevices, etc.).

A network of moving things may, for example, comprise a diverse set ofdevices that may each be manufactured by different suppliers.Additionally, third parties may provide services that play an importantrole in the overall performance of the network. For example, on oneside, a vehicular mesh, connected to fixed access points and otherdevices, may exploit the so called “Internet of Moving Things.” On theother side, a set of services configured in the Cloud may providevarious tools to manage such network, for example monitoring thesoftware/hardware versions of each device, sending updates to eachdevice, collecting statistical information regarding each node, ensuringthat each node reports its status, etc. Various services provided by theproprietary Cloud may also provide the tools that allow the networkoperators to perform management tasks, such as configuring new accesspoints remotely, requesting and/or accessing performance reports,activating and/or deactivating services on specific nodes, etc.

Note that although the examples presented herein generally comprise themonitoring service (e.g., including anomaly detecting, classifying,reporting, correcting, etc.) executing in a Cloud server, the scope ofthis disclosure is not limited thereto. For example, the monitoringservice (or any portion thereof) may operate in any node of the networksdisclosed herein (e.g., Network Controller or MC or LMA nodes, Fixed APor RSU nodes, Mobile AP or OBU nodes, etc.).

An example network implementation, in accordance with various aspects ofthe present disclosure comprises a monitoring service that is deployedin the Cloud (e.g., at server or other computing system that is coupledto the Internet, etc.), which comprises a scalable tool to monitor agrowing number of metrics that define the overall status of the network.In an example implementation, the monitoring service may comprise ascript that is developed in node.js, and calls (or accesses) a set offiles, called “tasks.” Each task may, for example, comprise a modularpiece of code that is designed to monitor a parameter of the network,for example by running a battery of assertions, and produce a report.Examples of tasks may, for example, comprise “checking database status,”“evaluation of traffic patterns within a given time range,” etc. Byimplementing a modular approach, for example based on severalindependently coded functionalities, the tasks are highly configurable,and the resulting outputs can trigger different actions (e.g., sendingemails, changing values in databases, sending text messagenotifications, making telephone calls, etc.). Note that the monitoringservice (or monitoring system) may generally be referred to herein assuch, but may also perform other activities, for example anomalydiagnosing, determining, classifying, and/or notifying. The monitoringservice may also, for example, take corrective action, adapt operation,etc.

Various network performance metrics (e.g., traffic, connectivity, etc.)follow generally predictable patterns that repeat over time. Forexample, various network performance metrics may exhibit a repeatabledaily pattern. In such instances, various aspects of the disclosure mayleverage such predictability and/or repeatability to establishmonitoring and/or reporting rules (e.g., metric thresholds, etc.).

Since different metrics may be evaluated differently and/or more oftenthan others, and different metrics may also be associated with differentrespective action teams, the monitoring service (or various toolsthereof) may be flexibly adaptable.

In an example implementation in accordance with various aspects of thepresent disclosure, the network monitoring service(s) (or tools thereof)may comprise any of a variety of characteristics. For example, theservice(s) (or tools thereof) may be highly configurable, allowingdifferent tasks to be executed differently, gather data from differentsources and/or at different intervals, and behave differently whenanomalies are detected. The service(s) (or tools thereof) may beconfigurable at the Cloud level, for example applying changes inreal-time and/or in a delayed and synchronized roll-out. The service(s)(or tools thereof) may also be configurable to acquire measurementinformation concerning any measurable parameter of the overall system(e.g., at the system level, at intermediate nodes, at the NetworkController or MC or LMA level, at the Fixed AP or RSU level, at theMobile AP or OBU level, etc.).

Further, the network monitoring service(s) (or tools thereof) may bescalable to more tasks (e.g., more of a same task and/or more types oftasks). The service(s) (or tools thereof) may also, for example,generate any of a variety of different types of reports and communicatesuch reports in any of a variety of manners (e.g., via email, forumreport, SMS, real-time delivery, delay tolerant delivery, via any one ormore of a variety of networks or communication pathways, etc.).

Additionally, as discussed herein, the service(s) (or tools thereof) mayadapt behavior over time, using learning algorithms, for example, torefine measurement analysis in determining whether measurements areindicative of normal or abnormal behavior.

FIG. 7 shows a block diagram of an example monitoring service 700 and/orcomponents thereof for monitoring network behavior, in accordance withvarious aspects of the present disclosure. The example monitoringservice 700 may, for example, share any or all characteristics with theother example networks and/or network components 100, 200, 300, 400,500-570, 600, 800 and 900 discussed herein. For example, as discussedherein, the example monitoring service 700 (or any portion thereof) maybe performed in any network node discussed herein (e.g., in the Cloud,in the Backbone or Core, in a Fixed AP, in a Mobile AP, etc.).

The example service 700 may, for example, provide for the parallelexecution of a set (or pool) of tasks 730, which may for example bewritten in JavaScript or any of a variety of languages. ThoughJavaScript is generally used as an example herein, it should beunderstood that any of a variety of programming languages and/ortechniques may be utilized.

Each task of the set of tasks 730 may, for example, comprise tworespective files, (1) a configuration file, and (2) an applicationscript. A task may, for example, utilize a set of one or more files thatare shared across all tasks (e.g., library files). In the exampleimplementation shown in FIG. 7, two library sets are shown, for exampleCustom Libraries 710, and Node JS Libraries 720. Generally, such filescontain libraries that, when executed, cause one or more processors orsystems to operate to interact with databases, files, APIs, etc., andare agnostic to the tasks themselves.

The tasks 730, Custom Libraries 710, and/or Node JS Libraries 720 may,for example, be stored in one or more of a variety of locations. Forexample, they may be stored in local memory of a system (e.g., a server,any of the network nodes or entities discussed herein, etc.) performingthe monitoring service or a portion thereof, stored in a centralizednetwork location that is accessible by a system performing themonitoring service or a portion thereof, etc.

Execution of the tasks 730 may, for example, be controlled by a taskmanager 740. A global configuration file may, for example, be used toinitialize all of the tasks 730. In general, when an application scriptor a configuration file is changed, that task may be restarted. When alibrary file is changed, however, generally all tasks may be restarted,all tasks that utilize the changed file may be restarted, etc.

In an example scenario, the task manager 740 may detect that a task hasbeen modified (e.g., autonomously by analyzing file metadata, receivinga notification message, etc.). In response, the task manager 740 mayrestart execution of the modified task, while continuing to executeother tasks that are not modified and/or independent of the modifiedtask.

In another example scenario, the task manager 740 may detect that alibrary file that is shared by a plurality of tasks has been modified(e.g., autonomously by analyzing file metadata, receiving a notificationmessage, etc.). In response, the task manager 740 may restart all tasksor may restart only those tasks that utilize the modified library file.

In an example scenario, the task manager 740 may detect that a new taskhas been added (e.g., autonomously by analyzing file metadata, directorycontents, receiving a notification message, etc.). In response, the taskmanager 740 may start execution of the new task and/or incorporatingstarting conditions for the new task into its operational flow, whilecontinuing to execute other tasks that are independent of the new task.

As discussed herein, any of a variety of reports may be distributed tomultiple destinations and/or through a variety of communicationnetworks. Note, however, that a local report may also be stored forlater access and/or analysis (e.g., instead of or in addition to beingstored at a remote location).

Each task may, for example, comprise a repeated series of executions ofan evaluation script. For example, each iteration may comprise asequence of operations. FIG. 8 shows a flow diagram of an example method800 for monitoring network behavior, in accordance with various aspectsof the present disclosure. Such an example method 800 may, for example,be implemented by a task (or task script), or for example by a processoroperating in accordance with code of the task. The example method 800may, for example, share any or all characteristics with the otherexample networks and/or network components 100, 200, 300, 400, 500-570,600, 700, and 900 discussed herein. For example, as discussed herein,the example method 800 (or any portion thereof) may be performed in anynetwork node discussed herein (e.g., in the Cloud, in the Backbone orCore, in a Network Controller, in a Fixed AP, in a Mobile AP, etc.).

The example method 800 begins executing at block 805. The example method800 may, for example, begin executing in response to any of a variety ofcauses or conditions, non-limiting examples of which are presentedherein. For example, the method 800 may begin executing in response to atask manager causing (or invoking) execution of a task, in response to adetected condition in the system, in response to a manual command, inresponse to a timer, in response to a detected location, in response todetected wireless environment conditions, in response to networkloading, in response to an emergency condition, in response to an actualor suspected security break, in response to detected road conditions, inresponse to a detected or received signal from a sensor or user deviceor other device, in response to a result of another one or more tasks,etc.

At blocks 812 and 814, the example method 800 may comprise performingone or more GET operations, for example retrieving new data (or metrics)and the last generated report(s). For example, the new data and/or priorreport information may be retrieved from a Cloud server (e.g., databasesystem, etc.) using API calls. The prior report information and/or newdata may, for example, be communicated to a system or node implementingblocks 812 and/or 814 utilizing any of the communication pathwaysdiscussed herein (e.g., utilizing DSRC, cellular, Wi-Fi, Ethernet,cable, DSL, etc.). Also for example, the new data and/or prior reportinformation may be retrieved from a local memory of the systemimplementing the method 800 (e.g., utilizing direct memory accesses,etc.). Also note that the new data may be received directly from acommunication network node that originates the data (e.g., by justpassively receiving the data, by requesting and receiving the data,etc.).

The new data may, for example, comprise information regarding operationof nodes of the communication network that are directly involved intrafficking information between other nodes, information regarding nodesthat are controlling or overseeing operation of the communicationnetwork, nodes that store information about communication networkoperation, nodes that provide interfaces between the communicationnetwork and other networks, nodes that provide a client interface tovarious aspects of communication network operation, etc. In an examplescenario, the task may comprise reading the status of the databaseshosted in the Cloud (e.g. in the proprietary Cloud).

The new and stored information (e.g., data, metrics, and/or reports thatare received, retrieved, analyzed, formed, etc.) may comprise any of avariety of characteristics. Such information may, for example, regardgeneral network performance. For example, the information may compriseone or more reports for each node, aggregated in any desired timeintervals such as hours, days, weeks, etc. Each report may, for example,report the traffic generated by each node within that time range, aswell as other information like total distance travelled, motionbehavior, and connectivity. In an example implementation, OBUs, sensors,and/or other kinds of nodes contribute to this collection. In an exampleimplementation, LMAs and RSUs may or may not contribute to thiscollection but may have separate reports, examples of which are providedbelow.

For example, such information may comprise LMA (or MC or NetworkController) performance information, for example reports for each LMA,aggregated in any desired time interval(s). Each report may, forexample, report the traffic generated by each LMA within a particulartime range. Also for example, such information may comprise RSU (orFixed AP) performance information, for example reports for each RSU,aggregated in any desired interval(s). Each report may, for example,report the traffic generated by each RSU within a particular time range.

Also for example, such information may comprise region performanceinformation, for example reports for each region, aggregated in desiredtime interval(s). Each report may, for example, report the trafficgenerated by an entire fleet within a particular time range, as well asmotion behavior of fleet vehicles, connectivity and RSSI. A report mayalso contain city-specific metrics, such as speed, road condition andpath. Any of a variety of types of regions, of all shapes and sizes(e.g., squares, polygons, circles, etc.) may be defined, analyzed, andreported.

Additionally for example, such information may comprise sessionperformance information, for example reports on communication sessionsaggregated in desired time interval(s). Each report may, for example,refer to the number of contributing nodes, total number of distinctmacs, sessions, traffic, duration, number of first-time users, etc.

Further for example, such information may comprise user information, forexample any of a variety of information regarding the users of thenetwork. Still further for example, such information may comprise devicestatistics information, for example reports of statistical analysisresults of hardware information from the devices that connect to thenetwork.

Also for example, such information may comprise region definitioninformation, for example defining a region as a cluster of other regions(e.g., a street may be defined by aggregating squares or other shapes,etc.). Also, such information may comprise information defining theexpected behavior of the nodes in that region (e.g., an expected ortypical motion pattern, etc.).

Additionally for example, such information may comprise information ofnetwork and/or network node configuration, information regarding typesof traffic flowing through the network and/or network nodes, informationregarding traffic volume, information regarding numbers of users and/ornew users, information regarding users in a particular area, informationfrom on-vehicle and/or off-vehicle sensors, information regarding nodeon-line/off-line operational status, information regarding databasestorage capacity or utilization or storage limits, location orgeo-reference information, etc.

In general, the new and stored information (e.g., data, metrics, and/orreports that are received, retrieved, analyzed, formed, etc.) utilizedin the example method 800 may comprise any of a variety ofcharacteristics. Accordingly, the scope of this disclosure should not belimited by characteristics of any of the particular types of informationand/or reports discussed herein.

At block 820, the example method 800 may perform a “Compute Report”operation, for example parsing the received information to generate anew report. The output report may, for example, comprise a status flag,which reflects the status of the metric that is being evaluated. Examplestatus (or severity) flags may include: WARNING, CRITICAL, OK, FLAPPING,etc. A series of metrics may, for example, be attached to the report aswell, for example in addition to the status flag (e.g., metrics on whichthe status determination is based, node identification information,session identification or description information, etc.). Continuing theexample scenario, if a database flag for example was set to CRITICAL inthe last generated report, and the newly retrieved metrics show thatthere are no errors, block 820 may comprise changing the status to OK.

The example method 800 may comprise a plurality of example conditions,the meeting of which causes execution flow of the method 800 to proceedto block 840 for the generation of a notification report. Note that thefailure to meet any of the example conditions, may cause the flow of theexample method 800 to skip such notification report generation. Suchconditions may comprise any of a variety of characteristics,non-limiting examples of which are shown in FIG. 8. For example, a firstexample condition 831 is satisfied if a status has changed, a secondexample condition 833 is satisfied if the last notification is too old,and a third example condition 839 is shown corresponding to generallyany condition that may be checked. Other example conditions may, forexample, include a status that has changed for the worse, a persistentstatus at a non-critical but undesirable level, a combination ofrespective status levels from respective different tasks being at orabove a particular level, etc. One or more of such conditions may bebased on any or all of the types of data, metric, or other informationdiscussed herein.

At block 840, the example method 800 comprises generating a report, forexample to notify a respective monitoring department (or process) of thedetected event or condition. For example, each task may, for example,report to a respective set of one or more locations or entities, whichmay be different depending on the task. In addition, differentconditions can trigger different notifications. Continuing the exampledatabase scenario, if the status of a database changed to CRITICAL,block 840 may comprise sending an email report to the databasemonitoring team or process. In another example scenario, if overalltraffic generated by commuters is lower than the expected, block 840 maycomprise sending a message to the operations department IRC channel. Ingeneral, block 840 may comprise communicating a report to a destinationutilizing any of the communication pathways discussed herein (e.g.,utilizing DSRC, cellular, Wi-Fi, Ethernet, cable, DSL, etc.).

Note that a report may be sent to a plurality of destinations (e.g., tothose personal or group destinations on a subscription list), forexample individuals and/or automated processes, which may also depend onseverity of the report. For example, a first set of subscribers mayreceive reports for WARNING status reports, and a second set ofsubscribers may receive reports for CRITICAL status reports. Block 840may comprise determining the destination(s) for a reporting messagebased on any of a variety of factors. For example, block 840 maycomprise determining the destination(s) for a reporting message based onthe task (or type of metric(s)) associated with the report, based on theseverity classification of the report, based on day and/or time-of-day,any combination thereof, etc.

Additionally, the technology (or network) used to communicate the reportmay vary depending on severity. For example, a task may place a phonecall (e.g., a cellular phone call, a landline phone call, etc.) to oneor more destinations for CRITICAL messages, along with a text messagenotification and an email notification. Also for example, WARNINGmessages may be communicated with text messages (or instant messages)and email. Additionally for example, information messages may simply belogged without a report being generated or may, for example, bedisplayed on a web page for an operator (if present) to see. Block 840may comprise determining the network(s) (or technology) used tocommunicate the report based on any of a variety of factors. Forexample, block 840 may comprise determining the network(s) (ortechnology) used to communicate the report based on the task (or type ofmetric(s)) associated with the report, based on the severityclassification of the report, based on day and/or time-of-day, anycombination thereof, etc.

Note that block 840 may comprise completing a report if such report wasnot completed at block 820. For example, in an example implementation,block 820 might comprise only determining enough aspects of the report(e.g., a first portion of the report) to determine whether a reportshould be communicated (e.g., as determined at blocks 831, 833, 839,etc.). For example, clock 840 may comprise determining a status (orseverity level) for the report. In such an example implementation, thereport need not be completed until block 840 when it is known that thereport is going to be communicated to a destination and/or logged forlater analysis.

At block 850, the example method 800 may comprise utilizing informationmeasured and/or metrics calculated to adapt its anomaly classificationalgorithms. For example, as a system and/or utilization thereof evolves,behavior expectations may change. Non-limiting examples of suchadaptation are provided herein. For example, block 850 may compriseadapting thresholds, metric limits, changing the set of metrics to bemonitored for one or more tasks, etc.

At block 860, the report may be stored, for example in a local database.As such, the report may be retrieved for later use (e.g., as may beretrieved at block 814). In an example implementation, historical reportinformation may be stored locally, but may also be stored remotely tofree up local storage while still retaining the information for futurestudy. Also for example, historical reporting information may be storedlocal in a rolling fashion, for example, maintaining local report copiesfor a previous number (or time period) of reports.

At block 870, execution flow of the example method 800 may be halted,though other methods need not halt. Execution of the example method 800may then wait at block 870 for an event before returning execution flowof the example method 800 back up to blocks 812 and 814. Such event may,for example, include expiration of a timer, waiting for a monitoredevent to occur, etc. Such event may, for example, include any or allevents discussed herein (e.g., with regard to block 805, etc.).

As discussed herein, tasks may be independent from each other, but sometasks may also be logically linked. For example, results of a first taskmay be used as a trigger to execute a second task (e.g., to verify adetected problem, to diagnose a detected problem, to collect additionalinformation for current or later analysis, to determine an extent of adetected problem, etc.).

The example blocks of the method 800 may, for example, be mapped in atemplate file, which may be used as a starting template for thedevelopment of additional features.

As discussed herein, the measuring and/or monitoring service maycontinue to grow and expand as needed. For example, as a new metric isidentified, a script may be prepared to retrieve information about themetric as the system is running, and to analyze the information todetermine whether network operation expectations are being met (e.g., atwhich point the metric may be flagged as OK).

Various non-limiting operational examples will now be presented.

In a first example (e.g., an LMA or MC or Network Controller example),an LMA (or MC or Network Controller) may for example be a device thatmanages (or guarantees) the IP mobility for every device, and tunnelsthe traffic between each device and the Internet. At fixed intervals(e.g., on the order of seconds, etc.), each LMA stores and/or reportsits CPU usage, and a timestamp of when such usage was measured and/orwhen a report was sent. The LMA may also send periodic information ofall the traffic that is forwarded by it to/from the Internet. Themonitoring service may, for example, monitor traffic patterns bycomparing the LMA's values for specific hours of the day with theaverage of equivalent periods from the latest W weeks prior to that day.Such values may, for example, be expected to be within a range from(β_(low)×average) to (β_(high)×average). The parameters W, β_(low) andβ_(high) are customizable parameters that may, for example, be tuned(e.g., defined, re-defined, adapted, etc.) in a configuration file.

For example: Consider W=3, β_(low)=0.9 and β_(high)=1.1. On September11th (Friday) at 11 am, the total traffic from LMA #1 is 50 GB.Considering the last W (3) Fridays (August 21st, August 28th andSeptember 4th), the traffic values for 11 am at each of these days was51 GB, 53 GB and 54 GB, respectively. The average of these W (3) valuesis 52.67 GB. In order for 50 GB to be considered a valid value (e.g., anacceptable expected value) for the traffic, 50 GB should be higher thanβ_(low)×average (47.40 GB) and lower than β_(high)×average (57.94 GB).Since in this example case, such condition is true, an OK status isreported. Otherwise a WARNING status may be reported. Note that aplurality of thresholds (or sets thereof) may be associated with aplurality of respective status (or severity) levels. For example, afirst set of thresholds may be associated with a WARNING status, asecond set of thresholds may be associated with a CRITICAL status, etc.Also note that one or more thresholds (or sets thereof) may also be setas constant values (e.g., absolute maximum and absolute minimum values,etc.).

In an example implementation, if more than n (customizable) consecutivehours are classified as WARNING, a CRITICAL status may be reported. Inaddition, if 3 or more consecutive hours are flapping (e.g., strictly orloosely alternating) from OK to WARNING, a FLAPPING status may bereported.

In an example scenario in which CPU usage in an LMA is above a giventhreshold, a CRITICAL status is reported. Additionally, every time anLMA measurement is above a given threshold without reporting to theserver, a CRITICAL status may be reported.

In another example (e.g., a Sessions example), every time a commuterconnects to the network inside a vehicle, the generated traffic (orinformation describing such traffic) is stored, as well as the sessionduration and the vehicle ID. The monitoring service monitors, for eachhour, which vehicles were provided sessions, how much traffic wasconsumed, how many and how long the sessions were, etc. A similar methodto the one used with the LMA example may, for example, be used toanalyze the data. For example, upper and lower bounds may be determined,and for each hour, the equivalent periods in previous weeks may be usedfor comparison.

In another example (e.g., a Database example), databases are monitoredto determine whether they are reachable and/or to determine whetherreplica servers are synchronized with their respective masters. In anexample scenario in which a database is determined to be unreachable ordetermined to be out of sync with its respective master, a CRITICALstatus may be reported.

In yet another example (e.g., a Node status example), communicationsbetween nodes and the server are monitored to determine whether allnodes are communicating with the server. In an example scenario, eachMobile AP is expected to communicate with the server every 15 seconds.At any given time, however, a particular number of Mobile APs might bedisconnected or otherwise unable to communicate with the server. In anexample implementation, if the number of nodes (e.g., Mobile AP nodes)that are not communicating with the server exceeds a given threshold(e.g., a customizable threshold), then a WARNING status may be reported.

In still another example (e.g., a Logs status example), log entries aremonitored to determine whether there are enough serious log entries towarrant the reporting of an ERROR status. For example, in an exampleimplementation, every node may produce logs for every interaction thathappens. Logs may, in turn, have different severity levels (e.g.,ranging from information messages to warning messages, to criticalmessages that require immediate action). In the example implementation,the monitor service may for example monitor and track the number of logsthat are of a high enough severity to indicate a potential problem(e.g., ERROR status, WARNING status, etc.). If the number of such logsexceeds a given threshold (e.g., a customizable threshold), then anERROR status may be reported.

In yet another example (e.g., an API example), API operation may bemonitored to determine whether API requests are being properly handled.For example, in various operating scenarios, due to database workload,an API request might fail. The monitoring service may, for example,monitor and track failed API requests over time, and use them togenerate reports (e.g., if a threshold number or ratio of failed APIrequests is detected.).

It should be understood that the examples provided herein arenon-limiting and that any of a large variety of measurements or metricsmay be monitored, and may be analyzed in any of a variety of manners.For example, rather than threshold comparisons, any of a variety ofstatistical analysis techniques may be utilized, for example todetermine whether system operation is out of control or is in imminentdanger of going out of control.

Systems and methods in accordance with various aspects of thisdisclosure may provide a variety of benefits. For example, such systemsand methods provide automatic detection of system anomalies.Additionally, such systems and methods are scalable, both in number andtypes of anomalies detected, metrics analyzed, reports generated, etc.Further such systems and methods are adaptable (or configurable) tochanging network topology and/or network use. Still further, suchsystems and methods are configured in a modular manner in which changesto a manner in which a task is performed or the addition of a new taskdoes not require all other tasks to restart or change their behavior.Systems and methods in accordance with various aspects of thisdisclosure may save operating costs through automation and provide forcontinual monitoring of the network.

The monitoring service can be configured to run in a networkproprietor's premises, a client's premises, in the Cloud, etc. Sinceanomaly detections can result in emails, database insertions, API calls,and many more possible outputs, this service (or tool) is suitable to beused by both network proprietors and third-parties, who can interpretthe output of every task differently. Machine learning techniquesfacilitate scalability as the network grows in size. The modularityand/or configurability of the monitoring service provides flexibilityfor enabling and/or disabling specific tasks and/or provides for tuningvarious monitoring and analysis parameters, according to present needs.

In accordance with various aspects of this disclosure, the monitoringservice may be integrated with other network monitoring tools. Also, themonitoring service may be integrated with Cloud provider APIs, forexample providing for virtual machine monitoring. As discussed herein,various aspects of the monitoring service are configurable (e.g.,user-configurable, automatically-configurable, etc.). In auser-configurable example, the monitoring service may be coupled with auser interface specifically adapted to configure monitoring behavior(e.g., task parameters, etc.). The configuration files may, for example,be stored in a database conveniently accessible via the user interface.

Any or all of the functionality characteristics discussed herein may beperformed by an anomaly detection system. For example, an anomalydetection system may be operable to perform any or all of themonitoring, anomaly detecting, anomaly analyzing, anomaly classifying,report forming or generating or communicating, anomaly correcting, etc.,discussed herein. An example anomaly detection system is provided isFIG. 9.

FIG. 9 shows a block diagram of an example anomaly detection system, inaccordance with various aspects of the present disclosure. The exampleanomaly detection system 900 may, for example, share any or allcharacteristics with the other example methods, networks, and/or networkcomponents 100, 200, 300, 400, 500-570, 600, 700, and 800 discussedherein. For example, any or all of the components of the example probe1000 may perform any or all of the method steps presented herein. Forexample, the anomaly detection system 900 may, for example, operate toperform any or all of the functionality discussed herein with regard tothe examples 700 and 800 of FIGS. 7 and 8. The anomaly detection system900 (or any portion thereof) may, for example, be implemented in aCloud-based system (e.g., a server, database, computer system, etc.).Also for example, the anomaly detection system 900 (or any portionthereof) may be implemented in vehicle communication network node (e.g.,a Network Controller or MC or LMA, a Fixed AP or RSU, a Mobile AP orOBU, etc.).

The example anomaly detection system 900 may comprise a variety ofcomponents (or modules), non-limiting examples of which are providedherein.

The example anomaly detection system 900 may, for example, comprise acommunication interface (I/F) module 901 (e.g., including a cellularcommunication interface module 902, mobile (or vehicle) networkcommunication interface module 904, LAN communication interface module906 (which may also, for example, include PAN, near field, etc.),Internet communication interface module 908, etc.) that operates toperform any or all of the wireless and/or wired communicationfunctionality for the anomaly detection system 900, many examples ofwhich are provided herein (e.g., communication with Cloud entities,communication with backhaul network nodes, communication with nodes of avehicle communication network, communication with users, etc.). Thecommunication interface (I/F) module 901 may, for example, operate inaccordance with any of a variety of cellular communication protocols(e.g., 3G, 4G, LTE, etc.) wireless LAN communication protocols (e.g.,Wi-Fi, etc.), wireless PAN communication protocols (e.g., Bluetooth,etc.), 802.11p or DSRC, satellite communication protocols, fiber orcable communication protocols, wired LAN protocols (e.g., Ethernet,etc.), TCP/IP, etc.

The example anomaly detection system 900 may, for example, comprise anAnomaly Detection Module 940 (ADM) that operates to perform any or allof the anomaly-related functionality (e.g., data and/or reportretrieving, data and/or report analyzing, report generating, reportclassifying, report communicating, anomaly detecting, anomalyclassifying, anomaly reporting, anomaly measuring, anomaly correcting,process adapting, etc.) discussed herein. The example ADM 940 may, forexample, comprise hardware and/or software that operate to implement anyor all of the functionality discussed herein with regard to the example700 of FIG. 7, the example 800 of FIG. 8, etc.

The example anomaly detection system 900 may, for example, comprise aMaster Control Module 910 that generally manages operation of theanomaly detection system 900 at a high level. Such Master Control Module910 may, for example, comprise various aspects of an operating systemfor the anomaly detection system 900.

The example anomaly detection system 900 may further, for example,comprise one or more applications 950 executing on the anomaly detectionsystem 900 (e.g., system interface applications, network interfaceapplications, user interface applications, etc.).

The example anomaly detection system 900 may also comprise one or moreprocessors 980 and memory devices 990. The processor(s) 980 may, forexample, comprise any of a variety of processor characteristics. Forexample, the processor(s) 980 may comprise one or more of a generalpurpose processor, RIS processor, microcontroller, ASIC, DSP, videoprocessor, etc.). The memory device(s) 990 may, for example comprise anyof a variety of memory characteristics. For example, the memorydevice(s) 990 may comprise a volatile memory, non-volatile memory, etc.The memory device(s) 990 may, for example, comprise a non-transitorycomputer-readable medium that comprises software instructions that whenexecuted by the processor(s) 980, cause the anomaly detection system 900to perform any or all of the functionality discussed herein (e.g., withregard to the example methods discussed herein, etc.). The memorydevice(s) 990 may also, for example, store any or all of theconfiguration information discussed herein, any or all of the measuringor monitoring results discussed herein, any or all of the taskinformation discussed herein, any or all of the report and/or metricinformation discussed herein, any or all of the software discussedherein, etc.

In accordance with various aspects of this disclosure, examples of thenetworks and/or components thereof presented herein are provided in U.S.Provisional Application Ser. No. 62/222,192, titled “CommunicationNetwork of Moving Things,” filed on Sep. 22, 2015.

In accordance with various aspects of this disclosure, the networksand/or components thereof presented herein are provided with systems andmethods for integrating such networks and/or components with othernetworks and systems, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/221,997, titled “IntegratedCommunication Network for A Network of Moving Things,” filed on Sep. 22,2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for synchronizing such networks and/or components,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/222,016, titled “Systems and Methods forSynchronizing a Network of Moving Things,” filed on Sep. 22, 2015, whichis hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing such networks and/or components,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/222,042, titled “Systems and Methods forManaging a Network of Moving Things,” filed on Sep. 22, 2015, which ishereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for monitoring such networks and/or components,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/222,066, titled “Systems and Methods forMonitoring a Network of Moving Things,” filed on Sep. 22, 2015, which ishereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for detecting and/or classifying anomalies insuch networks and/or components, non-limiting examples of which areprovided in U.S. Provisional Application Ser. No. 62/222,077, titled“Systems and Methods for Detecting and Classifying Anomalies in aNetwork of Moving Things,” filed on Sep. 22, 2015, which is herebyincorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing mobility in such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,098, titled “Systems and Methodsfor Managing Mobility in a Network of Moving Things,” filed on Sep. 22,2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing connectivity in such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,121, titled “Systems and Methodsfor Managing Connectivity a Network of Moving Things,” filed on Sep. 22,2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for collecting sensor data in such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,135, titled “Systems and Methodsfor Collecting Sensor Data in a Network of Moving Things,” filed on Sep.22, 2015, which is hereby incorporated herein by reference in itsentirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for interfacing with such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,145, titled “Systems and Methodsfor Interfacing with a Network of Moving Things,” filed on Sep. 22,2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for interfacing with a user of such networksand/or components, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,150, titled “Systems and Methodsfor Interfacing with a User of a Network of Moving Things,” filed onSep. 22, 2015, which is hereby incorporated herein by reference in itsentirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for data storage and processing in such networksand/or components, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,168, titled “Systems and Methodsfor Data Storage and Processing for a Network of Moving Things,” filedon Sep. 22, 2015, which is hereby incorporated herein by reference inits entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for vehicle traffic management in such networksand/or components, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,183, titled “Systems and Methodsfor Vehicle Traffic Management in a Network of Moving Things,” filed onSep. 22, 2015, which is hereby incorporated herein by reference in itsentirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for environmental management in such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,186, titled “Systems and Methodsfor Environmental Management in a Network of Moving Things,” filed onSep. 22, 2015, which is hereby incorporated herein by reference in itsentirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing port or shipping operation in suchnetworks and/or components, non-limiting examples of which are providedin U.S. Provisional Application Ser. No. 62/222,190, titled “Systems andMethods for Port Management in a Network of Moving Things,” filed onSep. 22, 2015, which is hereby incorporated herein by reference in itsentirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for enhancing the accuracy of positioning orlocation information based at least in part on historical data,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/244,828, titled “Utilizing Historical Data toCorrect GPS Data in a Network of Moving Things,” filed on Oct. 22, 2015,which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for enhancing the accuracy of position or locationof positioning or location information based at least in part on theutilization of anchors, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/244,930, titled “Using Anchorsto Correct GPS Data in a Network of Moving Things,” filed on Oct. 22,2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for providing communication between applications,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/246,368, titled “Systems and Methods forInter-Application Communication in a Network of Moving Things,” filed onOct. 26, 2015, which is hereby incorporated herein by reference in itsentirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for probing, analyzing and/or validatingcommunication, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/246,372, titled “Systems and Methodsfor Probing and Validating Communication in a Network of Moving Things,”filed on Oct. 26, 2015, which is hereby incorporated herein by referencein its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for adapting communication rate, non-limitingexamples of which are provided in U.S. Provisional Application Ser. No.62/250,544, titled “Adaptive Rate Control for Vehicular Networks,” filedon Nov. 4, 2015, which is hereby incorporated herein by reference in itsentirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for reconfiguring and adapting hardware,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/273,878, titled “Systems and Methods forReconfiguring and Adapting Hardware in a Network of Moving Things,”filed on Dec. 31, 2015, which is hereby incorporated herein by referencein its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for optimizing the gathering of data, non-limitingexamples of which are provided in U.S. Provisional Application Ser. No.62/253,249, titled “Systems and Methods for Optimizing Data Gathering ina Network of Moving Things,” filed on Nov. 10, 2015, which is herebyincorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for performing delay tolerant networking,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/257,421, titled “Systems and Methods for DelayTolerant Networking in a Network of Moving Things,” filed on Nov. 19,2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for improving the coverage and throughput ofmobile access points, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/265,267, titled “Systems andMethods for Improving Coverage and Throughput of Mobile Access Points ina Network of Moving Things,” filed on Dec. 9, 2015, which is herebyincorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for coordinating channel utilization, non-limitingexamples of which are provided in U.S. Provisional Application Ser. No.62/270,858, titled “Channel Coordination in a Network of Moving Things,”filed on Dec. 22, 2015, which is hereby incorporated herein by referencein its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for implementing a network coded mesh network in thenetwork of moving things, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/257,854, titled “Systems andMethods for Network Coded Mesh Networking in a Network of MovingThings,” filed on Nov. 20, 2015, which is hereby incorporated herein byreference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for improving the coverage of fixed access points,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/260,749, titled “Systems and Methods forImproving Fixed Access Point Coverage in a Network of Moving Things,”filed on Nov. 30, 2015, which is hereby incorporated herein by referencein its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing mobility controllers and their networkinteractions, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/273,715, titled “Systems and Methodsfor Managing Mobility Controllers and Their Network Interactions in aNetwork of Moving Things,” filed on Dec. 31, 2015, which is herebyincorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for managing and/or triggering handovers ofmobile access points, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/281,432, titled “Systems andMethods for Managing and Triggering Handovers of Mobile Access Points ina Network of Moving Things,” filed on Jan. 21, 2016, which is herebyincorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for performing captive portal-related control andmanagement, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/268,188, titled “CaptivePortal-related Control and Management in a Network of Moving Things,”filed on Dec. 16, 2015, which is hereby incorporated herein by referencein its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for extrapolating high-value data, non-limitingexamples of which are provided in U.S. Provisional Application Ser. No.62/270,678, titled “Systems and Methods to Extrapolate High-Value Datafrom a Network of Moving Things,” filed on Dec. 22, 2015, which ishereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for providing remote software updating anddistribution, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/272,750, titled “Systems and Methodsfor Remote Software Update and Distribution in a Network of MovingThings,” filed on Dec. 30, 2015, which is hereby incorporated herein byreference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for providing remote configuration updating anddistribution, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/278,662, titled “Systems and Methodsfor Remote Configuration Update and Distribution in a Network of MovingThings,” filed on Jan. 14, 2016, which is hereby incorporated herein byreference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for adapting the network, for exampleautomatically, based on user feedback, non-limiting examples of whichare provided in U.S. Provisional Application Ser. No. 62/286,243, titled“Systems and Methods for Adapting a Network of Moving Things Based onUser Feedback,” filed on Jan. 22, 2016, which is hereby incorporatedherein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for enhancing and/or guaranteeing data integritywhen building or performing data analytics, non-limiting examples ofwhich are provided in U.S. Provisional Application Ser. No. 62/278,764,titled “Systems and Methods to Guarantee Data Integrity When BuildingData Analytics in a Network of Moving Things,” Jan. 14, 2016, which ishereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for performing self-initialization and/or automatedbootstrapping of mobile access points, non-limiting examples of whichare provided in U.S. Provisional Application Ser. No. 62/286,515, titled“Systems and Methods for Self-Initialization and Automated Bootstrappingof Mobile Access Points in a Network of Moving Things,” filed on Jan.25, 2016, which is hereby incorporated herein by reference in itsentirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing power supply and/or utilization,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/295,602, titled “Systems and Methods for PowerManagement in a Network of Moving Things,” filed on Feb. 16, 2016, whichis hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for automating and easing the installation and setupof the infrastructure, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/299,269, titled “Systems andMethods for Automating and Easing the Installation and Setup of theInfrastructure Supporting a Network of Moving Things,” filed on Feb. 24,2016, which is hereby incorporated herein by reference in its entirety.

In summary, various aspects of this disclosure provide systems andmethods for detecting and classifying anomalies in a network of movingthings. As non-limiting examples, various aspects of this disclosureprovide configurable and adaptable systems and methods, for example in anetwork of moving things, for detecting various operational anomalies,classifying such anomalies, and/or reporting such anomalies. While theforegoing has been described with reference to certain aspects andexamples, it will be understood by those skilled in the art that variouschanges may be made and equivalents may be substituted without departingfrom the scope of the disclosure. In addition, many modifications may bemade to adapt a particular situation or material to the teachings of thedisclosure without departing from its scope. Therefore, it is intendedthat the disclosure not be limited to the particular example(s)disclosed, but that the disclosure will include all examples fallingwithin the scope of the appended claims.

What is claimed is:
 1. An anomaly detection system for a vehicle communication network, the anomaly detection system comprising: an anomaly detection module comprising a processor and a memory, wherein the anomaly detection module is operable to, at least: receive a metric provided by an Access Point (AP) of the vehicle communication network; determine at least a first portion of a report based, at least in part, on the received metric, the determined at least a first portion of the report comprising a severity classification of the report; determine, based at least in part on the severity classification, to communicate the report to a destination; select, based at least in part on the severity classification, a selected communication technology from a plurality of different communication technologies that are available to communicate the report to the destination; and communicate the report to the destination utilizing the selected communication technology.
 2. The anomaly detection system of claim 1, wherein the anomaly detection module is operable to: retrieve a previous report prepared by the anomaly detection module prior to receiving the metric; and determine the severity classification based also, at least in part, on the retrieved previous report.
 3. The anomaly detection system of claim 1, wherein the received metric identifies the Access Point.
 4. The anomaly detection system of claim 1, wherein the received metric identifies an object associated with the Access Point.
 5. The anomaly detection system of claim 1, wherein the anomaly detection module is operable to determine a communication network address for the report based, at least in part, on the severity classification of the report.
 6. An anomaly detection system for a vehicle communication network, the anomaly detection system comprising: an anomaly detection module comprising a processor and a memory, wherein the anomaly detection module is operable to, at least: receive a metric provided by a node of the vehicle communication network, the metric concerning operation of the vehicle communication network during a first time period; retrieve a previous report prepared by the anomaly detection, the previous report concerning operation of the vehicle communication network during a second time period prior to the first time period, the previous report comprising previous status information; determine at least a first portion of a next report based, at least in part, on the received metric and on the retrieved previous report, the first portion of the next report comprising next status information; determine, based at least in part on the first portion of the next report, whether to communicate the next report to a destination; and if it is determined to communicate the next report to the destination, then communicate the next report to the destination.
 7. The anomaly detection system of claim 6, wherein the anomaly detection module comprises: a task manager; and a set of tasks independently executable by the task manager, wherein the task manager is operable to, at least: detect a new task added to the set of tasks; and in response to the detected new task, at least: start execution of the new task; and continue execution of other tasks.
 8. The anomaly detection system of claim 6, wherein the received metric identifies a Mobile Access Point and/or a vehicle carrying the Mobile Access Point, wherein the Mobile Access Point is operable to provide wireless LAN connectivity to client devices while the Mobile Access Point is moving.
 9. The anomaly detection system of claim 6, wherein the anomaly detection module is operable to receive the metric by, at least in part, requesting the metric from another node of the vehicle communication network.
 10. The anomaly detection system of claim 6, wherein the anomaly detection module is operable to retrieve the previous report by, at least in part, retrieving the previous report from a local memory of the anomaly detection system.
 11. The anomaly detection system of claim 6, wherein the first portion of the next report comprises a severity classification of the next report.
 12. The anomaly detection system of claim 11, wherein the anomaly detection module is operable to determine the severity classification based, at least in part, on a previous severity classification from the retrieved previous report.
 13. The anomaly detection system of claim 12, wherein the anomaly detection module is operable to: determine a threshold level based, at least in part, on the retrieved previous report; and determine the severity classification level based, at least in part, on the determined threshold level.
 14. An anomaly detection system for a vehicle communication network, the anomaly detection system comprising: an anomaly detection module comprising a processor and a memory, wherein the anomaly detection module is operable to, at least: receive a metric provided by an access point (AP) of the vehicle communication network; retrieve a previous report prepared by the anomaly detection module prior to receiving the metric provided by the AP; determine at least a first portion of a next report based, at least in part, on the received metric; determine, based at least in part on the first portion of the next report, whether to communicate the next report; and if it is determined to communicate the next report, then: select, based at least in part on the next report, a set of destinations from a plurality of sets of destinations; and communicate the next report to the selected set of destinations.
 15. The anomaly detection system of claim 14, wherein: the first portion of the next report comprises a severity classification of the next report; and the anomaly detection module is operable to select the set of destinations based, at least in part, on the severity classification of the next report.
 16. The anomaly detection system of claim 15, wherein the anomaly detection module is operable to select the set of destinations based further, at least in part, on a type of the metric.
 17. The anomaly detection system of claim 15, wherein the anomaly detection module is operable to select, based at least in part on the severity classification, a selected communication technology from a plurality of communication technologies that are available to communicate the next report.
 18. The anomaly detection system of claim 17, wherein the plurality of communication technologies comprises a wired communication technology and a wireless communication technology.
 19. The anomaly detection system of claim 17, wherein the plurality of communication technologies comprises a plurality of different wireless communication technologies.
 20. The anomaly detection system of claim 14, wherein the previous report comprises location information and the next report comprises location information. 